All events, All years

Neuronal deficits in mouse models of Alzheimer's disease: structure, function, and plasticity

Lecture
Date:
Tuesday, June 1, 2010
Hour: 12:30
Location:
Jacob Ziskind Building
Dr. Edward Stern
|
Brain Research Center, Bar-Ilan University, Associate in Neurobiology, Massachusetts General Hospital, Assistant Professor of Neurology, Harvard Medical School

In the 104 years since Alois Alzheimer first described the neuropathological features underlying dementia in the disease that now bears his name, the changes in neuronal activity underlying the symptoms of the disease are still not understood. Using transgenic mouse models, it is now possible to directly measure changes in neuronal structure and function resulting from the accumulation of AD neuropathology. We measured the changes in evoked responses to electrical and sensory stimulation of neocortical neurons in mice transgenic for human APP, in which soluble amyloid-β accumulates and insoluble plaques aggregate in an age-dependent manner. Our results reveal a specific synaptic deficit present in neocortical neurons in brains with a significant amount of plaque aggregation. We show that this deficit is related to the distortion of neuronal process geometry by plaques, and the degree of response distortion is directly related to the amount of plaque-burdened tissue traversed by the afferent neuronal processes, indicating that the precise connectivity of the neocortex is essential for normal information processing. Furthermore, we show that the physical distortion of neuronal processes by plaques is reversible by immunotherapy, revealing a larger degree of structural plasticity in neocortical neurons of aged animals. Taken together, these results indicate that it may be possible to slow or reverse the symptoms of AD.

Neuronal Response Clamp

Lecture
Date:
Sunday, May 30, 2010
Hour: 14:30
Location:
Nella and Leon Benoziyo Building for Brain Research
Avner Wallach
|
Network Biology Research Laboratories, Technion Guest Student, Ahissar Group, Dept of Neurobiology, WIS

Since the first recordings made of evoked action potentials it has become apparent that the responses of individual neurons to ongoing physiologically relevant input, are highly variable. This variability is manifested in non-stationary behavior of practically every observable neuronal response feature. We introduce the Neuronal Response Clamp, a closed-loop technique enabling full control over two important single neuron activity variables: response probability and stimulus-spike latency. The technique is applicable over extended durations (up to several hours), and is effective even on the background of ongoing neuronal network activity. The Response Clamp technique is a powerful tool, extending the voltage-clamp and dynamic-clamp approaches to the neuron's functional level, namely-its spiking behavior.

The Hippocampus in Space and Time

Lecture
Date:
Thursday, May 27, 2010
Hour: 14:30
Location:
Arthur and Rochelle Belfer Building for Biomedical Research
Prof. Howard Eichenbaum
|
Center for Memory and Brain Boston University

In humans, hippocampal function is generally recognized as supporting episodic memory, whereas in rats, many believe that the hippocampus creates maps of the environment and supports spatial navigation. Is this a species difference, or is there a fundamental function of the hippocampus that supports cognition across species? Here I will discuss evidence that hippocampal neuronal activity in spatial memory is more related to the representation of routes than the maps, suggesting a potential function of the hippocampus in memory for unique sequences of events. Further studies support this view by showing that the hippocampus is critical to memory for sequential events in non-spatial episodic memories. Correspondingly, neural ensemble activity in the hippocampus involves a gradually changing temporal context representation onto which specific events might be coded. Finally, at the level of single-neuron spiking patterns, hippocampal principal cells encode specific times within spatial and non-spatial sequences (“time cells”, as contrasted with “place cells”), and encode specific events within sequence memories onto the representation of time. These findings support an emerging view that the hippocampus creates “scaffolding” for memories, representing events in their spatial and temporal context.

Associative Cortex in the First Olfactory Brain Relay Station?

Lecture
Date:
Thursday, May 13, 2010
Hour: 13:30
Location:
Arthur and Rochelle Belfer Building for Biomedical Research
Prof. Diego Restrepo
|
Director, Neuroscience Program Department of Cell and Developmental Biology University of Colorado, Denver, CO

Synchronized firing of mitral cells in the olfactory bulb, the first relay station of the olfactory system, has been hypothesized to convey information to olfactory cortex. In this first survey of synchronized firing by mitral cells in awake behaving vertebrates, we find sparse divergent odor responses. Surprisingly, synchronized firing conveys information on odor value (is it rewarded?) rather than odor quality. Further, adrenergic block decreases the magnitude of odor divergence of synchronous firing. These data raise questions whether mitral cells contribute to decision-making, or convey expected outcomes used in prediction error calculation.

Sculpting the hippocampal cognitive map: experimental control over the coded parameter space

Lecture
Date:
Tuesday, May 11, 2010
Hour: 12:30
Location:
Jacob Ziskind Building
Dr. Genela Morris
|
Dept of Neurobiology and Ethology University of Haifa

Although much work in the field of reinforcement learning has been devoted to understanding how animals and humans learn to perform the best action in each state of affairs, strikingly scant work targets the question of what constitutes such a state. In initial phases of learning, an animal or a person cannot know which facets of its rich experience should be attended to in order to identify their ‘state’. In a number of projects, we use tasks in which several different attributes can potentially be important for procuring rewards (odors, spatial location, previous actions), and specifically investigate the behavioral and neural processes underlying learning of which is the relevant state. This talk will focus on parameter coding by hippocampal primary neurons. The hippocampus serves an important role in learning and memory. In humans, it is associated with declarative episodic memory. Single unit recordings of hippocampal neurons in freely behaving rats have shown that many of them act as place-cells, confining their firing to well-defined locations in space. We recorded the activity of hippocampal primary neurons in a specially devised olfactory space, in which rats foraged for reward based solely on olfactory cues and studied the dependence of the activity of these neurons on their availability. We show that place cells shifted their firing fields from room coordinates to olfactory coordinates as animals learned to rely on them in order to obtain reward. The use of olfactory cues provides the additional benefit of careful control over the sensory inputs provided to the animals. Classical studies on hippocampal place-cells show that when the environment is visually altered, these hippocampal neurons 'remap', in a seemingly random manner. Although studies have been conducted to investigate the contribution of various visual aspects to the activity of place cells, the exact correlation of hippocampal cell firing to the visual input to the rats cannot be studied in freely behaving rats, because their field of view is unknown. By repeating the sequence of olfactory stimuli provided in the maze in a new environment, we study the relation between the neuronal responses of single neurons to given sensory stimuli in distinct spatial contexts. Preliminary results suggesting that the mapping of hippocampal neurons is not random, but critically depends on the sequence in which the different items are encountered, in support of the relational representation theory of hippocampal function.

Memory encoding and retrieval:A hippocampal “place-field centric” perspective

Lecture
Date:
Monday, May 10, 2010
Hour: 12:30
Location:
Arthur and Rochelle Belfer Building for Biomedical Research
Prof. Etan Markus
|
Dept of Psychology University of Connecticut

As a rat runs through a familiar environment, the hippocampus retrieves a previously stored spatial representation of the environment. When the environment is modified a new representation is seen, presumably corresponding to the hippocampus encoding the new information. I will present single unit data and discuss how the “hippocampus decides” whether to retrieve an old representation or form a new representation.

Synaptic and local circuit plasticity in the dentate gyrus – potential relevance to traumatic memories

Lecture
Date:
Tuesday, May 4, 2010
Hour: 12:30
Location:
Jacob Ziskind Building
Prof. Gal Richter-Levin
|
The Brain and Behavior Research Center University of Haifa

Synopsis: Depending on its severity and context, stress can affect neural plasticity. Most related studies focused on synaptic plasticity and long-term potentiation (LTP) of principle cells. However, evidence suggests that following stress, modifications can also take place at the level of complex interactions with interneurons, i.e. at the local circuit level. We set out to examine in vivo in the rat the possible impact of re-exposure to the context of a traumatic experience on the plasticity of the principle cells and on local circuit activity within the dentate gyrus (DG). Findings indicate that the re-exposure to a reminder of a traumatic experience affects not only aspects of synaptic plasticity of principle cells, but also aspects of local circuit activity. These alterations may underlie some of the behavioral consequences of the traumatic experience.

Neuroprotection in Multiple Sclerosis Translation of Experimental Therapy Results into Clinical Studies

Lecture
Date:
Wednesday, April 28, 2010
Hour: 14:30
Location:
Arthur and Rochelle Belfer Building for Biomedical Research
Prof. Mathias Baehr
|
Head, Dept of Neurology University of Gottingen Medical School, Germany

Experimental autoimmune encephalomyelitis (EAE) induced by myelin oligodendrocyte glycoprotein (MOG) in brown Norway rats mimicks neurodegenerative aspects of multiple sclerosis (MS). In this model, optic neuritis leads to acute axonal lesions and consecutive apoptotic cell death of RGCs, whose axons form the optic nerve. The intracellular mechanisms of RGC apoptosis resemble those described after surgical transection of the optic nerve. These mechanisms involve shifts in the expression of Bcl-2 family members, mitogen-activated protein kinases , and the phosphatidylinositol-3-kinase/Akt pathway. Current research on neurodegenerative aspects in EAE or MS is focused on developing treatment strategies that inhibit degeneration of axons as well as protection of the neuronal cell body from apoptotic cell death. The concept of achieving neuroprotective effects by successful treatment of inflammation and autoimmunity was supported by studies showing a close association of axonal damage and inflammation. However, trials evaluating anti-inflammatory therapies in MS patients have shown that elimination of the inflammatory component of the disease does not necessarily stop progression of brain and spinal cord atrophy. Methylprednisolone, the standard treatment of autoimmune optic neuritis, accelerates visual recovery, but it does not influence the final visual outcome. In MOG-induced optic neuritis, even detrimental effects of anti-inflammatory treatment with methylprednisolone on the survival of RGCs were observed. On the other hand, blocking apoptosis signals in neurons without simultaneously treating inflammation-induced axon degeneration does not lead to functionally relevant results: Although application of Epo as well as CNTF increases survival rates of RGCs during MOG-induced optic neuritis, visual acuity in these animals remains poor due to severe and ongoing degeneration of optic nerve axon fibers. These observations led to a hypothesis that can easily be transferred to the situation in MS: Due to the much larger proportion of white matter in the human brain, preventing apoptosis of neuronal cell bodies alone might not find its expression in clinical scores and neurological function. Therefore, neuroprotective approaches in combination with the established disease-modifying therapies might be more promising. Simultaneous application of methylprednisolone and Epo or Minocycline in MOG-induced optic neuritis resulted in a functional, electrophysiological improvement of optic nerves and RGCs as well as in increased neuronal and axonal survival The lecture will outline the transfer of these experimental approaches into a clinical trial and discuss other new neuroprotective and regenerative strategies.

Habituation and adaptation in the barn owl

Lecture
Date:
Tuesday, April 27, 2010
Hour: 12:30
Location:
Jacob Ziskind Building
Dr. Yoram Gutfreund
|
Dept of Physiology and Biophysics Faculty of Medicine, Technion, Haifa

Habituation is the most basic form of learning yet very little is known about the underlying mechanisms. In our lab, we use the pupil dilation reflex of the barn owl as a model system to study habituation. In barn owls the pupils dilate in response to an unexpected stimulus. This response habituates dramatically if the stimulus is repeated. The advantage of using the PDR is that it can be measured non-invasively in immobilized and even anaesthetized barn owls. This allows for an easy combination of physiological experiments with behavioral experiments. In my talk I will describe recent experiments addressing the effects of microstimulation in the optic tectum on the PDR and will show that neural responses in the optic tectum are correlated with the habituation of the PDR. These findings link the optic tectum with habituation processes.

Stress related disorders induces neuroadaptations in the Nucleus-Accumbens spontaneous activity and in Hippocampaly evoked Accumbens activity

Lecture
Date:
Thursday, April 22, 2010
Hour: 13:00
Location:
Nella and Leon Benoziyo Building for Brain Research
Yaron Penn
|
Zangen Group, Dept of Neurobiology, WIS

Stress related dissorders are likely to result from atypical processing and integration of information by several serieses of neural networks. These dissorders have been associated with neuroadaptations found at molecular and cellular levels within reward-related brain regions. The nucleus accumbens (NAcc) is a central component of the reward system. Convergence of glutamatergic innervations from limbic and cortical structures under intense dopaminergic modulations, places the NAcc as the major site for integration of emotional salience, contextual constraints and executive/motor plans. In the current study we found the medial shell of the NAcc to exhibit life-experience dependant adaptations. In animals exposed to chronic mild stress (CMS), there was an increase in spontaneous patterned network activity, synaptic potentiation of vSub innervations and increased GluR1 levels in the NAcc shell. In contrast, the ability to sustain time-locked, hippocampally evoked, network response was strongly reduced. That and more, we found evidence for short- and long- term plasticity in the vSub-NAcc pathway of CMS animals, but not in their control counterparts. Over all, we argue that stressful life-experience is associated with in-vivo, long-term functional adaptations in the reward system. The individual animal’s life experience history was found to leave its mark on the NAcc network activity, properties and response. Taken together with the life-experience dependent plasticity results, these adaptations are suggested to reflect part of the adverse functional mechanism which guide behavioral deficits in stress related dissorders.

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All events, All years

Theoretical models of grid cell dynamics and coding in the rat entorhinal cortex

Lecture
Date:
Monday, January 4, 2010
Hour: 11:00
Location:
Nella and Leon Benoziyo Building for Brain Research
Dr. Yoram Burak
|
Center for Brain Science Harvard University

Grid cells in the rat entorhinal cortex display strikingly regular firing responses to the animal's position in 2-D space, and have been hypothesized to form the neural substrate for dead-reckoning. I will address two theoretical questions that arise from this remarkable experimental discovery: First, how is grid cell dynamics generated in the brain. Second, what information is conveyed in grid cell activity. In discussing the first question, I will focus on continuous-attractor models of grid cell activity, and ask whether such models can generate regular triangular grid responses based on inputs that encode only the rat's velocity and heading direction. In a recent work, we provided a proof of concept that such models can accurately integrate velocity inputs, along trajectories spanning 10-100 meters in length and lasting 1-10 minutes. The range of accurate integration depends on various properties of the continous-attractor network. After presenting these results, I will discuss possible experiments that may differentiate the continuous-attractor model from other proposed models, where activity arises independently in each cell. In the second part of the talk, I will examine the relationship between grid cell firing and rat location, asking what information is present in grid-cell activity about the rat's position. I will argue that, although the periodic response of grid cells may appear wasteful, the grid-cell code is in fact combinatorial in capacity, and allows for unambiguous position representations over ranges vastly larger than the ~0.5-10m periods of individual lattices. Further, the grid cell representation has properties that could facilitate the arithmetic computation involved in position updating during path integration. I will conclude by mentioning some of the implications for downstream readouts, and possible experimental tests.

Sound Texture Perception via Synthesis

Lecture
Date:
Sunday, January 3, 2010
Hour: 14:30
Location:
Nella and Leon Benoziyo Building for Brain Research
Dr. Josh McDermott
|
New York University

Many natural sounds, such as those produced by rainstorms, fires, and swarms of insects, result from large numbers of rapidly occurring acoustic events. Such “sound textures” are often temporally homogeneous, and in many cases do not depend much on the precise arrangement of the component events, suggesting that they might be represented statistically. To test this idea and explore the statistics that might characterize natural sound textures, we designed an algorithm to synthesize sound textures from statistics extracted from real sounds. The algorithm is inspired by those used to synthesize visual textures, in which a set of statistical measurements from a real sound are imposed on a sample of noise. This process is iterated, and converges over time to a sound that obeys the chosen constraints. If the statistics capture the perceptually important properties of the texture in question, the synthesized result ought to sound like the original sound. We tested whether rudimentary statistics computed from the responses of a bank of bandpass filters could produce compelling synthetic textures. Simply matching the marginal statistics (variance, kurtosis) of individual filter responses was generally insufficient to yield good results, but imposing various joint envelope statistics (correlations between bands, and autocorrelations within each band) greatly improved the results, frequently producing synthetic textures that sounded natural and that subjects could reliably recognize. The results suggest that statistical representations could underlie sound texture perception, and that in many cases the auditory system may rely on fairly simple statistics to recognize real world sound textures. Joint work with Andrew Oxenham and Eero Simoncelli.

PKMzeta and the core molecular mechanism of long-term memory storage and erasure

Lecture
Date:
Tuesday, December 29, 2009
Hour: 12:30
Location:
Jacob Ziskind Building
Prof. Todd Sacktor
|
SUNY Downstate Medical Center, Brooklyn, NY

How long-term memories are stored as physical traces in the brain is a fundamental question in neuroscience. Most molecular work on LTP, a widely studied physiological model of memory, has focused on the early signaling events regulating new protein synthesis that mediates initial LTP induction. But what are the newly synthesized proteins that function in LTP maintenance, how do they sustain synaptic potentiation, and do they store long-term memory? Recent studies have identified a brain-specific, autonomously active, atypical PKC isoform, PKMzeta, that is central to the mechanism maintaining the late phase of LTP. In behavioral experiments, the persistent activity of PKMzeta maintains spatial memories in hippocampus, fear-motivated memories in amygdala, and, in work performed in the Dudai lab, elementary associative memories in neocortex. This is because 1-day to several month-old memories appear to be rapidly erased after local intracranial PKMzeta inhibition. PKMzeta, a persistently active enzyme, is thus the first identified molecular component of the long-term memory trace.

Plasticity in high level visual cortex: insights from development and fMRI-adaptation

Lecture
Date:
Tuesday, December 22, 2009
Hour: 12:30
Location:
Jacob Ziskind Building
Dr. Kalanit Grill-Spector
|
Dept of Psychology and Neurosciences Institute Stanford University, CA

The human ventral stream consists of regions in the lateral and ventral aspects of the occipital and temporal lobes and is involved in visual recognition. One robust characteristic of selectivity in the adult human ventral stream is category selectivity. Category selectivity is manifested by both a regional preference to particular object categories, such as faces, places and bodyparts, as well as in specific (and reproducible) distributed response patterns across the ventral stream for different object categories. However, it is not well understood how these representations come about throughout development and how experience modifies these representations and how do. I will describe two sets of experiments in which we addressed these important questions. First, I will describe experiments in which we examined changes in category selectivity throughout development from middle childhood (7-11 years), through adolescence (12-16) into adulthood. Surprisingly, we find that it takes more than a decade for the development of adult-like face and place-selective regions. In contrast, the lateral occipital object-selective region showed an adult-like profile by age 7. Further, recent findings from our research indicate that face-selective regions have a particularly prolonged development as they continue develop through adolescence in correlation with improved face, but not object or scene recognition memory. Development manifests as increases in the size of face-selective regions, increases in face-selectivity as well as increases in the distinctiveness of distributed response patterns to faces compared to nonfaces. Second, I will describe experiments in adults in which we examined the effect of repetition on categorical responses in the ventral stream. Repeating objects decreases responses in the human ventral stream. Repetition in lateral ventral regions manifests as a proportional effects in which responses to repeated objects are a constant fraction of nonrepeating stimuli with no change in selectivity. In contrast in medial ventral temporal cortex, we find differential effects across time scales whereby immediate repetitions produce proportional effects, but long-lagged repetitions sharpen responses, increasing category selectivity. Finally, I will discuss the implications of these results on plasticity in the ventral stream and our theoretical models linking between fMRI measurements and the underlying neural mechanisms.

Ongoing Dynamics and Brain Connectivity: From Intracellular Recordings to Human Neurophysiology

Lecture
Date:
Tuesday, December 15, 2009
Hour: 12:30
Location:
Jacob Ziskind Building
Dr. Amos Arieli
|
Department of Neurobiology, WIS

What is the temporal precision of cortical activity? It is clear that the wide range of coding schemes occur on different time scales: Millisecond scale characterizes direct sensory events, tens to hundreds of milliseconds scale characterizes attention processes, while different states of alertness can last many seconds. It seems that there is a direct relationship between the time scale and the spatial resolution in cortical activity. The activity involved in a direct sensory process is well defined in small areas; for example an orientation column. On the other hand an attention process involves huge populations and maybe even the whole cortex. In my talk I will try to bridge the gap between the recordings of single neurons (intracellular and extracellular recordings) and the recordings of large populations of neurons (EEG, LFP,VSD or fMRI) in order to understand the spatio-temporal organization underlying the function of cortical neuronal population and it's relation to brain connectivity. I will relate to the following topics: - What is the size of the neuronal population that contributes to the population activity in different cognitive states? - What is the degree of synchronization within this population? - What is the relationship between the population activity and the activity of single cortical neurons? - The dynamic of coherent activity in neuronal assemblies - ongoing & evoked activity

Long-term relationships between network activity, synaptic tenacity and synaptic remodeling in networks of cortical neurons

Lecture
Date:
Tuesday, December 8, 2009
Hour: 12:30
Location:
Jacob Ziskind Building
Dr. Noam Ziv
|
Dept of Physiology, Rappaport Faculty of Medicine Technion, Haifa

The human brain consists of a vast number of neurons interconnected by specialized communication devices known as synapses. It is widely believed that activity-dependent modifications to synaptic connections - synaptic plasticity - represents a fundamental mechanism for altering network function, giving rise to emergent phenomena commonly referred to as learning and memory. This belief also implies, however, that synapses, when not driven to change their properties by physiologically relevant stimuli, should retain these properties over time. Otherwise, physiologically relevant modifications would be gradually lost amidst spurious changes and spontaneous drift. We refer to the expected default tendency of synapses to hold onto their properties as "synaptic tenacity". We have begun to examine the degree to which synaptic structures are indeed tenacious. To that end we have developed unique, long-term imaging technologies that allow us to record the remodeling of individual synaptic specializations in networks of dissociated cortical neurons over many days and even weeks at temporal resolutions of 10-30 minutes, and at the same time record and manipulate the levels of activity in the same networks. These approaches have allowed us to uncover intriguing relationships between network activity, synaptic tenacity and synaptic remodeling. These experiments and the insights they have provided will be described.

Computational Model of Spatio-Temporal Cortical Activity in V1: Mechanisms Underlying Observations of Voltage Sensitive Dyes

Lecture
Date:
Thursday, October 29, 2009
Hour: 12:30
Location:
Jacob Ziskind Building
Prof. David McLaughlin
|
Provost and Professor of Mathematics and Neuroscience New York University

To investigate the existence and the characteristics of possible cortical operating points of the primary visual cortex, as manifested by the coherent spontaneous ongoing activity revealed by real-time optical imaging based on voltage-sensitive dyes, we studied numerically a very large-scale (_5 _ 105) conductancebased, integrate-and-fire neuronal network model of an _16-mm2 patch of 64 orientation hypercolumns, which incorporates both isotropic local couplings and lateral orientation-specific long-range connections with a slow NMDA component. A dynamic scenario of an intermittent desuppressed state (IDS) is identified in the computational model, which is a dynamic state of (i) high conductance, (ii) strong inhibition, and (iii) large fluctuations that arise from intermittent spiking events that are strongly correlated in time as well as in orientation domains, with the correlation time of the fluctuations controlled by the NMDA decay time scale. Our simulation results demonstrate that the IDS state captures numerically many aspects of experimental observation related to spontaneous ongoing activity, and the specific network mechanism of the IDS may suggest cortical mechanisms and the cortical operating point underlying observed spontaneous activity.In addition, we address the functional significance of the IDS cortical operating points by investigating our model cortex response to the Hikosaka linemotion illusion (LMI) stimulus—a cue of a quickly flashed stationary square followed a few milliseconds later by a stationary bar. As revealed by voltage-sensitive dye imaging, there is an intriguing similarity between the cortical spatiotemporal activity in response to (i) the Hikosaka LMI stimulus and (ii) a small moving square. This similarity is believed to be associated with the preattentive illusory motion perception. Our numerical cortex produces similar spatiotemporal patterns in response to the two stimuli above, which are both in very good agreement with experimental results. The essential network mechanisms underpinning the LMI phenomenon in our model are (i) the spatiotemporal structure of the LMI input as sculpted by the lateral geniculate nucleus, (ii) a priming effect of the long-range NMDA-type cortical coupling, and (iii) the NMDA conductance–voltage correlation manifested in the IDS state. This mechanism in our model cortex, in turn, suggests a physiological underpinning for the LMI-associated patterns in the visual cortex of anaesthetized cat.

Locust swarms and their immunity

Lecture
Date:
Sunday, October 4, 2009
Hour: 12:30
Location:
Nella and Leon Benoziyo Building for Brain Research
Gabriel Miller
|
Harvard University

Locusts are arguably the most notorious pests in history, directly affecting the livelihood of 1 in 10 people worldwide. These fascinating insects exhibit dramatic phenotypic plasticity in response to environmental fluctuation, changing from shy and cryptic 'solitarious' forms to brightly-colored and swarming 'gregarious' forms. How do these swarms form? What triggers this phenotypic switch? I will discuss how the experience of locust females influences the phenotype of her offspring, and how the 'gregarizing factor' underlying this maternal effect was isolated, purified, and partially characterized. Finally, I present field and laboratory data suggesting that swarm formation (and this gregarizing factor) affects locust immune function.

Learning in Recurrent Networks with Spike-Timing Dependent Plasticity

Lecture
Date:
Wednesday, September 23, 2009
Hour: 12:30
Location:
Nella and Leon Benoziyo Building for Brain Research
Prof. Klaus Pawelzik
|
Institute for Theoretical Physics, Dept of Neuro-Physics University of Bremen, Germany

Memory contents are believed to be stored in the efficiency of synapses in recurrent networks of the brain. In prefrontal cortex it was found that short and long term memory is accompanied with persistent spike rates [1,2] indicating that reentrant activities in recurrent networks reflect the content of synaptically encoded memories [3]. It is, however, not clear which mechanisms enable synapses to sequentially accumulate information from the stream of patterned inputs which under natural conditions enter as perturbations of the ongoing neuronal activities. For successful incremental learning only novel input should alter specific synaptic efficacies while previous memories should be preserved as long as network capacity is not exhausted. In other words, synaptic learning should realise a palimpsest property with erasing the oldest memories first. Here we demonstrate that synaptic modifications which sensitively depend on /temporal changes /of pre- and the post-synaptic neural activity can enable such incremental learning in recurrent neuronal networks. We investigated a realistic rate based model and found that for robust incremental learning in a setting with sequentially presented input patterns specific adaptation mechanisms of STDP are required that go beyond the observed synaptic changes for sequences of pre- and post-synaptic spikes [4]. Our predicted pre- and post-synaptic adaptation of synaptic changes in response to respective rate changes are experimentally testable and --if confirmed-- would suggest that STDP provides an unsupervised learning mechanism particularly well suited for incremental memory acquisition by circumventing the stability-plasticity dilemma.

Molecular mechanisms of neuron-glia interactions: roles in development and disease

Lecture
Date:
Tuesday, September 22, 2009
Hour: 12:30
Location:
Jacob Ziskind Building
Prof. Gabriel Corfas
|
F.M. Kirby Neurobiology Center Harvard Medical School

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