All events, All years

OT+ PVN neurons regulate aggression and dominance hierarchy in wild-derived female mice

Lecture
Date:
Thursday, January 13, 2022
Hour: 12:00 - 13:00
Location:
Itsik Sofer- Phd Thesis Defense
|
Prof. Tali Kimchi, Lab Dept of Brain Sciences, WIS

Aggression and dominance hierarchy are basic social behaviors that are essential for the survival and reproductive success of most mammalian species. Typically, they are displayed whenever conspecifics have to compete for limited resources, such as food, water, territory, or access to mates. As a result, and due to sexual selection, intra-sexual competition is higher in males compared to females as fertile females are a limited resource to males. Thus, males often express a higher level of aggression and are most likely to form a dominance hierarchy in a group. Therefore, most studies of the biological basis of intra-sexual aggression and dominance hierarchy have been focused on males. However, it has long been observed that females also compete with each other and can form dominant hierarchies. In this study, we aimed to investigate the role of OT+ PVN neurons in the aggression of wild-derived female mice by comparing them to males. Wild-derived mice were chosen for their higher levels of aggression compared to the lab mouse strains, which might have lost these behavioral traits due to artificial selection and socially restricted environment while in captivity. To manipulate OT+ PVN neurons, we established a wild OT:Cre mouse line by backcrossing wild-derived mice with transgenic lab mice and validated that its phenotype resembles the wild-derived mice. Using these novel wild-backcrossed OT:Cre (Wild-BX) mice, we found that OT+ PVN neurons of females are activated due to agonistic interaction. Next, we virally ablated, using Casp3, or activated, using DREADD, OT+ PVN neurons in wild-BX males and females, and performed a standard resident-intruder assay (RI) to examine territorial aggression towards same-sex adults and unfamiliar pups. We found that ablation of OT+ PVN neurons in wild-BX females reduces adult and pup-directed aggression and increases sniffing behavior. In contrast, activation of this neuronal population promotes aggressive behavior toward adults and pups and decrees sniffing behavior. In males, similar manipulations did not affect either of these aggressive or sniffing behaviors, except a weak impact on pup-directed aggression. Moreover, by examining group behavior in a semi-natural environment, we found that ablation of OT+ PVN neurons suppresses dominant hierarchy formation in groups of wild-BX females. In contrast, activation strengthened the hierarchy and increased agonistic behavior in the group. In males, in contrast to the RI, the OT+ PVN ablation delayed the formation of the hierarchy and increased the anxiety in the group, whereas activation weakened the hierarchy and increased pro-social behavior. These findings suggest that OT PVN neurons have a sexually-dimorphic effect in aggression and dominance hierarchy behaviors, and they emphasize the importance of investigating both sexes in ethologically-relevant animal models and social contexts, in the study of socially relevant neuromodulators. Zoom link: https://weizmann.zoom.us/j/96648920836?pwd=OXlvV0NPTHIrVHNLYUpvZ2lNTnJZdz09 Meeting ID: 966 4892 0836 Password: 248477

Zoom seminar -Diversity of dopamine neurons: multi-agent reinforcement learning

Lecture
Date:
Tuesday, January 11, 2022
Hour: 16:00 - 17:00
Location:
Prof. Naoshige Uchida
|
Center for Brain Science Harvard University, Cambridge, MA

Dopamine regulates multiple brain functions including learning, motivation and movement. Furthermore, the striatum, a major target of dopamine neurons, is parceled into multiple subregions that are associated with different types of behavior, such as Pavlovian, goal-directed, and habitual behaviors. An important question in the field is how dopamine regulates these diverse functions. It has been thought that midbrain dopamine neurons broadcast reward prediction error signals to drive reinforcement learning. However, recent studies have found more diverse dopamine signals than originally thought. How can we reconcile these results? In this talk, I will discuss our recent studies characterizing diverse dopamine signals, and how these findings can be understood in a coherent theoretical framework. Zoom Link: https://weizmann.zoom.us/j/95406893197?pwd=REt5L1g3SmprMUhrK3dpUDJVeHlrZz09 Meeting ID: 954 0689 3197 Password: 750421

Circuits for decisions, attention and working memory in the primate visual system

Lecture
Date:
Monday, January 10, 2022
Hour: 14:00 - 16:00
Location:
Dr. Leor Katz
|
National Eye Institute, National Institutes of Health at Bethesda, MD

Making decisions, attending to certain items, and manipulating information in working memory are fundamental behaviors that rely on specific neural circuitry. Throughout my research I have contributed to understanding such behaviors in human and in nonhuman primates but found that despite tremendous advances in the field, we still lack a mechanistic understanding of what goes wrong in conditions such as dementia or autism. My long-term research goal is to determine the circuits that support cognitive behavior, in health and disease. In my talk, I present three key contributions I have made towards uncovering neuronal circuits for cognition in the macaque, an animal model whose neural circuitry affords unique insight into human brain function. First, I demonstrate the utility of rigorous psychophysical frameworks in determining the causal contribution of key brain regions to behavior in a perceptual decision-making task. Next, I describe how causal manipulations of brain areas involved in attentional control can be used to identify hitherto unknown areas and reveal new functional circuits in support of selective attention and object recognition. Finally, I show how computational analyses of population data reveal circuits within circuits with distinct roles in supporting working memory. I end the talk by presenting my future research directions and approach: to leverage my experience studying how we select from external information (from sensory signals) to investigate how we select from internal information (from information stored in visual working memory). By blending theory-driven experiments with large-scale electrophysiological recording and circuit-specific causal manipulations in behaving macaques, I aim to uncover how we select relevant information from working memory, and equally important, how we fail to do so when struck by disorders of executive or memory function.

Investigating the mechanisms underlying the stable coexistence of multiple maps for the same environment

Lecture
Date:
Wednesday, January 5, 2022
Hour: 10:00 - 11:00
Location:
Alice Eldar- MSc Thesis Defense
|
Prof. Yaniv Ziv, Lab Dept of Brain Sciences, WIS

Hippocampal place cells fire at a high rate whenever an animal is in a specific location in an environment and are thought to support spatial and episodic memory. When an animal visits different environments, place cells typically ‘remap’ (i.e., change their preferred locations), and when revisiting the same environment, the same spatial code reemerges. In a recent study by our lab, place cells were shown to globally remap, forming multiple distinct representations (maps) of the same environment that stably coexist across time. In that study, switching between different maps of the same environment happened only after the mice were disconnected from the environment.             Here I performed a set of experiments to further understand the mechanism underlying switching between multiple maps. My project established a way to manipulate this mechanism, both through external orientation inputs and by acting directly on the hippocampal network state using optogenetics. My results provide support for the proposed role of head-direction or other orientation signals in the switching between maps. They also support the model of maps as stable attractors, where the specific attractor (map) used depends on the initial conditions of the network. Zoom: https://weizmann.zoom.us/j/92871200575?pwd=WWdZbXVmM1R5RkFZYnpTajloelVTZz09 Meeting ID: 928 7120 0575 Password: 344121

Zoom Seminar - Using deep neural networks as cognitive models for how brains act in the natural world

Lecture
Date:
Tuesday, January 4, 2022
Hour: 12:30 - 13:30
Location:
Prof. Uri Hasson
|
Psychology Dept & the Neuroscience Institute, Princeton University

Naturalistic experimental paradigms in neuroimaging arose from a pressure to test the validity of models we derive from highly controlled experiments in real-world contexts. In many cases, however, such efforts led to the realization that models developed under particular experimental manipulations failed to capture much variance outside the context of that manipulation. The critique of non-naturalistic experiments is not a recent development; it echoes a persistent and subversive thread in the history of modern psychology. The brain has evolved to guide behavior in a multidimensional world with many interacting variables. The assumption that artificially decoupling and manipulating these variables will lead to a good understanding of the brain may be untenable. Recent advances in artificial neural networks provide an alternative computational framework to model cognition in natural contexts. In contrast to the simplified and interpretable hypotheses we test in the lab, these models do not learn simple, human-interpretable rules or representations of the world. Instead, they use local computations to interpolate over task-relevant manifolds in high-dimensional parameter space. Counterintuitively, over-parameterized deep neural models are parsimonious and straightforward, as they provide a versatile, robust solution for learning a diverse set of functions in natural contexts. Naturalistic paradigms should not be deployed as an afterthought if we hope to build models of brain and behavior that extend beyond the laboratory into the real world. In my talk, I will discuss the relevance of deep neural models to cognition in the context of natural language and deep language models. Zoom link- https://weizmann.zoom.us/j/95406893197?pwd=REt5L1g3SmprMUhrK3dpUDJVeHlrZz09 Meeting ID: 954 0689 3197 Password: 750421

Zoom Seminar-Neuroimaging in drug addiction: an eye towards intervention development

Lecture
Date:
Thursday, December 30, 2021
Hour: 14:00 - 15:00
Location:
Prof. Rita Goldstein
|
Icahn School of Medicine at Mount Sinai NY

: Drug addiction is a chronically relapsing disorder characterized by compulsive drug use despite catastrophic personal consequences (e.g., loss of family, job) and even when the substance is no longer perceived as pleasurable. In this talk, I will present results of human neuroimaging studies, utilizing a multimodal approach (neuropsychology, functional magnetic resonance imaging, event-related potentials recordings), to explore the neurobiology underlying the core psychological impairments in drug addiction (impulsivity, drive/motivation, insight/awareness) as associated with its clinical symptomatology (intoxication, craving, bingeing, withdrawal). The focus of this talk is on understanding the role of the dopaminergic mesocorticolimbic circuit, and especially the prefrontal cortex, in higher-order executive dysfunction (e.g., disadvantageous decision-making such as trading a car for a couple of cocaine hits) in drug addicted individuals. The theoretical model that guides the presented research is called iRISA (Impaired Response Inhibition and Salience Attribution), postulating that abnormalities in the orbitofrontal cortex and anterior cingulate cortex (and other prefrontal cortical regions underlying higher order executive function), as related to dopaminergic dysfunction, contribute to the core clinical symptoms in drug addiction. Specifically, our multi-modality program of research is guided by the underlying working hypothesis that drug addicted individuals disproportionately attribute reward value to their drug of choice at the expense of other potentially but no-longer-rewarding stimuli, with a concomitant decrease in the ability to inhibit maladaptive drug use. In this talk I will also explore whether treatment (as usual) and 6-month abstinence enhance recovery in these brain-behavior compromises in treatment seeking cocaine addicted individuals. Promising neuroimaging studies, which combine pharmacological (i.e., oral methylphenidate, or RitalinTM) and salient cognitive tasks or functional connectivity during resting-state, will be discussed as examples of using neuroimaging in the empirical guidance for the development of effective neurorehabilitation strategies (including cognitive reappraisal, mindfulness, and transcranial direct current stimulation) in drug addiction. Zoom Lindk-https://weizmann.zoom.us/j/95406893197?pwd=REt5L1g3SmprMUhrK3dpUDJVeHlrZz09 Meeting ID 954 0689 3197 Password 750421

ZOOM seminar - Dissecting retinal and brain circuits transmitting light intensity signals and regulating mood

Lecture
Date:
Tuesday, December 28, 2021
Hour: 12:30
Location:
Dr. Shai Sabbah
|
Dept of Medical Neurobiology The Hebrew University of Jerusalem

Environmental light intensity affects the nervous system and is a powerful modulator of behavior. Light-intensity-dependent activity is observed in a subset of retinal output cells, which innervate a newly discovered nucleus of the dorsal thalamus, that in turn projects to the prefrontal cortex and striatum. Silencing the transmission along this pathway has been shown to affect mood. I will describe the retinal networks responsible for the transmission of light intensity signals, and show new results demonstrating the capacity for light-intensity encoding in diverse brain regions. Zoom Seminar Zoom Link: https://weizmann.zoom.us/j/95406893197?pwd=REt5L1g3SmprMUhrK3dpUDJVeHlrZz09 Meeting ID: 954 0689 3197 Password: 750421

ZOOM seminar: Sleep-related memory consolidation in humans: beyond single, isolated memories

Lecture
Date:
Sunday, December 26, 2021
Hour: 12:30 - 13:30
Location:
Dr. Eitan Schechtman
|
Northwestern University, Evanston, Illinois

Sleep is critical for the stabilization of memories. This process is thought to be supported by the reactivation of memories, thereby strengthening the neural infrastructure supporting them. Theoretical accounts of this consolidation process focus on the process through which memories are independently strengthened, but in natural settings individual memories never exist in a vacuum. In this talk, I will present a series of studies exploring the extent of memory reactivation during sleep in humans, how interactions between memories impact the consolidation process, and the role of encoding context in memory processing during sleep. The main technique used to explore memory reactivation in these studies is targeted memory reactivation, a behavioral manipulation that can selectively bias consolidation during sleep. The results demonstrate that multiple semantically related memories can be simultaneously consolidated during sleep. Additionally, they show that memory reactivation during sleep may involve contextual reinstatement, thereby impacting multiple contextually linked memories. These data suggest that reactivation during sleep is not limited to single memory items, and can occur at the network or brain-state level. Relatedly, we show that reactivating a suppression state during sleep can be used to selectively weaken memories. Taken together, these results inform our current understanding regarding memory consolidation processes and open new avenues for translatable research to alleviate memory-related symptoms in patients suffering from psychiatric disorders.

Quantitative Tools for Neuroscience Questions

Lecture
Date:
Wednesday, December 22, 2021
Hour: 12:30 - 13:30
Location:
Arthur and Rochelle Belfer Building for Biomedical Research
Dr. Ari Pakman
|
Department of Statistics & the Center for Theoretical Neuroscience, Columbia University

As bigger neuroscience datasets are generated with novel observation modalities, so grows the need for computational tools to answer basic questions. What different types of neurons exist in a population? How to sort out neurons from their electric activity? How do neurons process information? I will present statistical, machine learning and information-theoretic tools that address such questions. In particular, I will discuss new solutions to the problem of classifying neuron types using genetic markers, amortizing spike-sorting in modern multi-electrode arrays and disentangling the simultaneous presence of synergy and redundancy in neural information processing circuits.

Zoom seminar: The role of noncanonical hippocampal circuits in memory

Lecture
Date:
Tuesday, December 21, 2021
Hour: 12:30 - 13:30
Location:
Prof. Thomas McHugh
|
Laboratory for Circuit and Behavioral Physiology RIKEN Center for Brain Science, Japan

The human hippocampus plays a crucial role in episodic memory; the who, what, where memories that define our lives. In the rodent, well-defined anatomy and physiology make the structure an ideal model system; amenable to circuit manipulations and observations designed to test hypotheses concerning how memories are formed and used. Here I will present our recent work in mice which combines anatomical characterization, genetic interventions and in vivo recording to address how noncononical inputs and outputs influence information flow in the hippocampus. I will first introduce our study identifying a novelty signaling hub in the hypothalamus – the supramammillary nucleus (SuM). Unique about this region is that it not only responds broadly to novel stimuli, but segregates and selectively routes different types of information to discrete cortical targets, the dentate gyrus (DG) and CA2 fields of the hippocampus, for the modulation of mnemonic processing. Next, I will describe ongoing work focused on how CA2’s output impacts both local and distal circuits, including our identification and characterization of a novel descending glutamatergic projection from CA2 pyramidal cells to PV+ neurons in the MS that can regulate cholinergic tone and hippocampal memory. Zoom link: https://weizmann.zoom.us/j/95406893197?pwd=REt5L1g3SmprMUhrK3dpUDJVeHlrZz09 Meeting ID: 954 0689 3197 Password: 750421

Pages

All events, All years

Zoom seminar -Diversity of dopamine neurons: multi-agent reinforcement learning

Lecture
Date:
Tuesday, January 11, 2022
Hour: 16:00 - 17:00
Location:
Prof. Naoshige Uchida
|
Center for Brain Science Harvard University, Cambridge, MA

Dopamine regulates multiple brain functions including learning, motivation and movement. Furthermore, the striatum, a major target of dopamine neurons, is parceled into multiple subregions that are associated with different types of behavior, such as Pavlovian, goal-directed, and habitual behaviors. An important question in the field is how dopamine regulates these diverse functions. It has been thought that midbrain dopamine neurons broadcast reward prediction error signals to drive reinforcement learning. However, recent studies have found more diverse dopamine signals than originally thought. How can we reconcile these results? In this talk, I will discuss our recent studies characterizing diverse dopamine signals, and how these findings can be understood in a coherent theoretical framework. Zoom Link: https://weizmann.zoom.us/j/95406893197?pwd=REt5L1g3SmprMUhrK3dpUDJVeHlrZz09 Meeting ID: 954 0689 3197 Password: 750421

Circuits for decisions, attention and working memory in the primate visual system

Lecture
Date:
Monday, January 10, 2022
Hour: 14:00 - 16:00
Location:
Dr. Leor Katz
|
National Eye Institute, National Institutes of Health at Bethesda, MD

Making decisions, attending to certain items, and manipulating information in working memory are fundamental behaviors that rely on specific neural circuitry. Throughout my research I have contributed to understanding such behaviors in human and in nonhuman primates but found that despite tremendous advances in the field, we still lack a mechanistic understanding of what goes wrong in conditions such as dementia or autism. My long-term research goal is to determine the circuits that support cognitive behavior, in health and disease. In my talk, I present three key contributions I have made towards uncovering neuronal circuits for cognition in the macaque, an animal model whose neural circuitry affords unique insight into human brain function. First, I demonstrate the utility of rigorous psychophysical frameworks in determining the causal contribution of key brain regions to behavior in a perceptual decision-making task. Next, I describe how causal manipulations of brain areas involved in attentional control can be used to identify hitherto unknown areas and reveal new functional circuits in support of selective attention and object recognition. Finally, I show how computational analyses of population data reveal circuits within circuits with distinct roles in supporting working memory. I end the talk by presenting my future research directions and approach: to leverage my experience studying how we select from external information (from sensory signals) to investigate how we select from internal information (from information stored in visual working memory). By blending theory-driven experiments with large-scale electrophysiological recording and circuit-specific causal manipulations in behaving macaques, I aim to uncover how we select relevant information from working memory, and equally important, how we fail to do so when struck by disorders of executive or memory function.

Investigating the mechanisms underlying the stable coexistence of multiple maps for the same environment

Lecture
Date:
Wednesday, January 5, 2022
Hour: 10:00 - 11:00
Location:
Alice Eldar- MSc Thesis Defense
|
Prof. Yaniv Ziv, Lab Dept of Brain Sciences, WIS

Hippocampal place cells fire at a high rate whenever an animal is in a specific location in an environment and are thought to support spatial and episodic memory. When an animal visits different environments, place cells typically ‘remap’ (i.e., change their preferred locations), and when revisiting the same environment, the same spatial code reemerges. In a recent study by our lab, place cells were shown to globally remap, forming multiple distinct representations (maps) of the same environment that stably coexist across time. In that study, switching between different maps of the same environment happened only after the mice were disconnected from the environment.             Here I performed a set of experiments to further understand the mechanism underlying switching between multiple maps. My project established a way to manipulate this mechanism, both through external orientation inputs and by acting directly on the hippocampal network state using optogenetics. My results provide support for the proposed role of head-direction or other orientation signals in the switching between maps. They also support the model of maps as stable attractors, where the specific attractor (map) used depends on the initial conditions of the network. Zoom: https://weizmann.zoom.us/j/92871200575?pwd=WWdZbXVmM1R5RkFZYnpTajloelVTZz09 Meeting ID: 928 7120 0575 Password: 344121

Zoom Seminar - Using deep neural networks as cognitive models for how brains act in the natural world

Lecture
Date:
Tuesday, January 4, 2022
Hour: 12:30 - 13:30
Location:
Prof. Uri Hasson
|
Psychology Dept & the Neuroscience Institute, Princeton University

Naturalistic experimental paradigms in neuroimaging arose from a pressure to test the validity of models we derive from highly controlled experiments in real-world contexts. In many cases, however, such efforts led to the realization that models developed under particular experimental manipulations failed to capture much variance outside the context of that manipulation. The critique of non-naturalistic experiments is not a recent development; it echoes a persistent and subversive thread in the history of modern psychology. The brain has evolved to guide behavior in a multidimensional world with many interacting variables. The assumption that artificially decoupling and manipulating these variables will lead to a good understanding of the brain may be untenable. Recent advances in artificial neural networks provide an alternative computational framework to model cognition in natural contexts. In contrast to the simplified and interpretable hypotheses we test in the lab, these models do not learn simple, human-interpretable rules or representations of the world. Instead, they use local computations to interpolate over task-relevant manifolds in high-dimensional parameter space. Counterintuitively, over-parameterized deep neural models are parsimonious and straightforward, as they provide a versatile, robust solution for learning a diverse set of functions in natural contexts. Naturalistic paradigms should not be deployed as an afterthought if we hope to build models of brain and behavior that extend beyond the laboratory into the real world. In my talk, I will discuss the relevance of deep neural models to cognition in the context of natural language and deep language models. Zoom link- https://weizmann.zoom.us/j/95406893197?pwd=REt5L1g3SmprMUhrK3dpUDJVeHlrZz09 Meeting ID: 954 0689 3197 Password: 750421

Zoom Seminar-Neuroimaging in drug addiction: an eye towards intervention development

Lecture
Date:
Thursday, December 30, 2021
Hour: 14:00 - 15:00
Location:
Prof. Rita Goldstein
|
Icahn School of Medicine at Mount Sinai NY

: Drug addiction is a chronically relapsing disorder characterized by compulsive drug use despite catastrophic personal consequences (e.g., loss of family, job) and even when the substance is no longer perceived as pleasurable. In this talk, I will present results of human neuroimaging studies, utilizing a multimodal approach (neuropsychology, functional magnetic resonance imaging, event-related potentials recordings), to explore the neurobiology underlying the core psychological impairments in drug addiction (impulsivity, drive/motivation, insight/awareness) as associated with its clinical symptomatology (intoxication, craving, bingeing, withdrawal). The focus of this talk is on understanding the role of the dopaminergic mesocorticolimbic circuit, and especially the prefrontal cortex, in higher-order executive dysfunction (e.g., disadvantageous decision-making such as trading a car for a couple of cocaine hits) in drug addicted individuals. The theoretical model that guides the presented research is called iRISA (Impaired Response Inhibition and Salience Attribution), postulating that abnormalities in the orbitofrontal cortex and anterior cingulate cortex (and other prefrontal cortical regions underlying higher order executive function), as related to dopaminergic dysfunction, contribute to the core clinical symptoms in drug addiction. Specifically, our multi-modality program of research is guided by the underlying working hypothesis that drug addicted individuals disproportionately attribute reward value to their drug of choice at the expense of other potentially but no-longer-rewarding stimuli, with a concomitant decrease in the ability to inhibit maladaptive drug use. In this talk I will also explore whether treatment (as usual) and 6-month abstinence enhance recovery in these brain-behavior compromises in treatment seeking cocaine addicted individuals. Promising neuroimaging studies, which combine pharmacological (i.e., oral methylphenidate, or RitalinTM) and salient cognitive tasks or functional connectivity during resting-state, will be discussed as examples of using neuroimaging in the empirical guidance for the development of effective neurorehabilitation strategies (including cognitive reappraisal, mindfulness, and transcranial direct current stimulation) in drug addiction. Zoom Lindk-https://weizmann.zoom.us/j/95406893197?pwd=REt5L1g3SmprMUhrK3dpUDJVeHlrZz09 Meeting ID 954 0689 3197 Password 750421

ZOOM seminar - Dissecting retinal and brain circuits transmitting light intensity signals and regulating mood

Lecture
Date:
Tuesday, December 28, 2021
Hour: 12:30
Location:
Dr. Shai Sabbah
|
Dept of Medical Neurobiology The Hebrew University of Jerusalem

Environmental light intensity affects the nervous system and is a powerful modulator of behavior. Light-intensity-dependent activity is observed in a subset of retinal output cells, which innervate a newly discovered nucleus of the dorsal thalamus, that in turn projects to the prefrontal cortex and striatum. Silencing the transmission along this pathway has been shown to affect mood. I will describe the retinal networks responsible for the transmission of light intensity signals, and show new results demonstrating the capacity for light-intensity encoding in diverse brain regions. Zoom Seminar Zoom Link: https://weizmann.zoom.us/j/95406893197?pwd=REt5L1g3SmprMUhrK3dpUDJVeHlrZz09 Meeting ID: 954 0689 3197 Password: 750421

ZOOM seminar: Sleep-related memory consolidation in humans: beyond single, isolated memories

Lecture
Date:
Sunday, December 26, 2021
Hour: 12:30 - 13:30
Location:
Dr. Eitan Schechtman
|
Northwestern University, Evanston, Illinois

Sleep is critical for the stabilization of memories. This process is thought to be supported by the reactivation of memories, thereby strengthening the neural infrastructure supporting them. Theoretical accounts of this consolidation process focus on the process through which memories are independently strengthened, but in natural settings individual memories never exist in a vacuum. In this talk, I will present a series of studies exploring the extent of memory reactivation during sleep in humans, how interactions between memories impact the consolidation process, and the role of encoding context in memory processing during sleep. The main technique used to explore memory reactivation in these studies is targeted memory reactivation, a behavioral manipulation that can selectively bias consolidation during sleep. The results demonstrate that multiple semantically related memories can be simultaneously consolidated during sleep. Additionally, they show that memory reactivation during sleep may involve contextual reinstatement, thereby impacting multiple contextually linked memories. These data suggest that reactivation during sleep is not limited to single memory items, and can occur at the network or brain-state level. Relatedly, we show that reactivating a suppression state during sleep can be used to selectively weaken memories. Taken together, these results inform our current understanding regarding memory consolidation processes and open new avenues for translatable research to alleviate memory-related symptoms in patients suffering from psychiatric disorders.

Quantitative Tools for Neuroscience Questions

Lecture
Date:
Wednesday, December 22, 2021
Hour: 12:30 - 13:30
Location:
Arthur and Rochelle Belfer Building for Biomedical Research
Dr. Ari Pakman
|
Department of Statistics & the Center for Theoretical Neuroscience, Columbia University

As bigger neuroscience datasets are generated with novel observation modalities, so grows the need for computational tools to answer basic questions. What different types of neurons exist in a population? How to sort out neurons from their electric activity? How do neurons process information? I will present statistical, machine learning and information-theoretic tools that address such questions. In particular, I will discuss new solutions to the problem of classifying neuron types using genetic markers, amortizing spike-sorting in modern multi-electrode arrays and disentangling the simultaneous presence of synergy and redundancy in neural information processing circuits.

Zoom seminar: The role of noncanonical hippocampal circuits in memory

Lecture
Date:
Tuesday, December 21, 2021
Hour: 12:30 - 13:30
Location:
Prof. Thomas McHugh
|
Laboratory for Circuit and Behavioral Physiology RIKEN Center for Brain Science, Japan

The human hippocampus plays a crucial role in episodic memory; the who, what, where memories that define our lives. In the rodent, well-defined anatomy and physiology make the structure an ideal model system; amenable to circuit manipulations and observations designed to test hypotheses concerning how memories are formed and used. Here I will present our recent work in mice which combines anatomical characterization, genetic interventions and in vivo recording to address how noncononical inputs and outputs influence information flow in the hippocampus. I will first introduce our study identifying a novelty signaling hub in the hypothalamus – the supramammillary nucleus (SuM). Unique about this region is that it not only responds broadly to novel stimuli, but segregates and selectively routes different types of information to discrete cortical targets, the dentate gyrus (DG) and CA2 fields of the hippocampus, for the modulation of mnemonic processing. Next, I will describe ongoing work focused on how CA2’s output impacts both local and distal circuits, including our identification and characterization of a novel descending glutamatergic projection from CA2 pyramidal cells to PV+ neurons in the MS that can regulate cholinergic tone and hippocampal memory. Zoom link: https://weizmann.zoom.us/j/95406893197?pwd=REt5L1g3SmprMUhrK3dpUDJVeHlrZz09 Meeting ID: 954 0689 3197 Password: 750421

Neuron-glia interactions in neurodevelopmental disorders: from basic research to a clinical trial

Lecture
Date:
Tuesday, December 14, 2021
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Dr. Boaz Barak
|
School of Psychological Sciences and Sagol School of Neuroscience, Tel Aviv University

Neuron-glia interactions are key for proper myelination in the brain and for its functionality. To study neuron-glia interaction roles in brain development we focus on the genetic disorder Williams syndrome (WS). WS is a multisystemic neurodevelopmental disorder caused by a de-novo hemizygous deletion of ~26 genes from chromosome 7q11.23. We previously revealed surprising aberrations in myelination and brain development in a novel mouse model for the hypersociability phenotype associated with WS, as a result of a neuronal deletion of the transcription factor Gtf2i, which is one of the genes deleted in WS. In this talk, I will present our recent findings focused on altered white matter and brain development in WS, and discuss potential molecular and cellular explanations for the neurodevelopmental deficits in WS. Specifically, I will present evidence for mitochondrial dysfunction in neurons, and what are the microglial responses to the resultant myelination deficits. Furthermore, to study the implication of our studies from mouse models on human condition, I will show our new data on the altered epigenome of human frontal cortex tissue from WS compared to controls. Finally, I will present our approaches to develop new therapeutic approaches and will update on our clinical trial focused on ameliorating white matter deficits in WS. Hybrid seminar Zoom link: https://weizmann.zoom.us/j/95406893197?pwd=REt5L1g3SmprMUhrK3dpUDJVeHlrZz09 Meeting ID: 954 0689 3197 Password: 750421

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