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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.

Second Nachmansohn Memorial Symposium: Molecular Approaches to the Nervous System

Conference
Date:
Wednesday, November 25, 2009
Hour:
Location:

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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

Why is visual perception multi-stable?

Lecture
Date:
Tuesday, September 8, 2009
Hour: 12:30
Location:
Arthur and Rochelle Belfer Building for Biomedical Research
Prof. Jochen Braun
|
Cognitive Biology Group Otto-von-Guericke-University Magdeburg, Germany

Visual experience is an extrapolation of the retinal image on the basis of prior knowledge about the visual environment. Intriguingly, this inferential process frequently fails to reach a definitive conclusion so that visual experience of a stable scene continues to fluctuate between alternative percepts. This multi-stability of visual perception has long been attributed to adaptive processes that curtail the persistence of any dominant percept. However, more and more evidence points to a fundamentally stochastic, fluctuation-driven nature of multi-stable perception. We have discovered subtle regularities in series of perceptual alternations that allow us to quantify the relative contributions of adaptive and stochastic processes to perceptual reversals. In collaboration with Gustavo Deco, Barcelona, we have used our observations to constrain a generic attractor network model for multi-stable perception (Moreno-Bote et al., 2007). In the context of this model, our measurements imply that multi-stable perception consistently straddles the dividing line between the oscillatory (adaptation dominated) and the bistable (fluctuation-driven) regimes. In other words, visual perception seems to be maintained in a state of criticality. Excitable networks are known to respond most sensitively and with maximal dynamic range when in a state of criticality. Accordingly, visual perception may be maintained in a critical state in order to maximize sensitivity, with multi-stability as an unavoidable side-effect. Our conclusions throw a surprising new light on many well-known observations and raise several new questions. For example, they imply the existence of hitherto unsuspected homeostatic mechanisms.

“Tomorrow is another day": A 24 h persistent synaptic plasticity in hippocampal interneuron circuits

Lecture
Date:
Tuesday, August 18, 2009
Hour: 12:30
Location:
Jacob Ziskind Building
Dr. Israeli Ran
|
Dept of Physiology University of Montreal, Canada

Hippocampal interneurons synchronize the activity of large neuronal ensembles during memory consolidation. Although the latter process is manifested as increases in synaptic efficacy which require new protein synthesis in pyramidal neurons, it is unknown whether such enduring plasticity occurs in interneurons. In the present talk, I will discuss a long-term potentiation (LTP) of transmission at individual interneuron excitatory synapses which persists for at least 24 h, after repetitive activation of type-1 metabotropic glutamate receptors [mGluR1-mediated chemical late LTP (cL-LTPmGluR1 )]. cL-LTPmGluR1 involves pre- and postsynaptic expression mechanisms and requires both transcription and translation via phosphoinositide 3-kinase/mammalian target of rapamycin and MAPkinase kinase extracellular signal-regulated protein kinase signaling pathways. Moreover, cL-LTPmGluR1 involves translational control at the level of initiation as it is prevented by hippuristanol, an inhibitor of eIF4A, and facilitated in mice lacking the cap-dependent translational repressor, 4E-BP. These results reveal novel mechanisms of long-term synaptic plasticity that are transcription and translation-dependent in inhibitory interneurons, indicating that persistent synaptic modifications in interneuron circuits may contribute to hippocampal-dependent cognitive processes.

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Neuronal Avalanches in the Cortex:A Case for Criticality

Lecture
Date:
Tuesday, July 7, 2009
Hour: 15:00
Location:
Arthur and Rochelle Belfer Building for Biomedical Research
Prof. Dietmar Plenz
|
Laboratory of Systems Neuroscience NIMH, USA

Complex systems, when poised near a critical point of a phase transition between order and disorder, exhibit scale-free, power law dynamics. Critical systems are highly adaptive and flexibly process and store information, which prompted the conjecture that the cortex might operate at criticality. This view is supported by the recent discovery of neuronal avalanches in superficial layers of cortex. The spatiotemporal, synchronized activity patterns of avalanches form a scale-free organization that spontaneously emerges in vitro as well as in vivo in the anesthetized rat and awake monkeys. Avalanches are established at the time of superficial layer differentiation, require balanced fast excitation and inhibition, and are regulated via an inverted-U profile of NMDA/dopamine-D1 interaction. Neuronal synchronization in the form of avalanches naturally incorporates nested theta/gamma-oscillations as well as sequential activations as proposed for synfire chains. Importantly, a singleavalanche is not an isolated network event, but rather its specific occurrence in time, its spatial spread, and overall size is part of an elementary organization of the dynamics that is described by three fundamental power laws. Overall, these results suggest that neuronal avalanches indicate a critical network dynamics at which the cortex gains universal properties found at criticality. These properties constitute a novel framework that allow for a precise quantification of cortex function such as the absolute discrimination of pathological from non-pathological synchronization, and the identification of maximal dynamic range for input-output processing.

Critical thoughts on critical periods: Are children better than adults at acquiring skills?

Lecture
Date:
Tuesday, July 7, 2009
Hour: 12:30
Location:
Jacob Ziskind Building
Prof. Avi Karni
|
Department of Human Biology University of Haifa

Physiological studies of the functional architecture of the basal ganglia neural networks

Lecture
Date:
Tuesday, June 30, 2009
Hour: 12:30
Location:
Jacob Ziskind Building
Prof. Hagai Bergman
|
Dept of Physiology and The Interdisciplinary Center for Neural Computation Hebrew University, Jerusalem

The basal ganglia (BG) are commonly viewed as two functionally related subsystems. These are the neuromodulators subsystem and the main-axis subsystem, in analogy with the critic-actor division of reinforcement learning agent. We propose that the BG main axis is performing dimensionality reduction of the cortical input leading to optimal trade-off between maximization of future cumulative reward and minimization of the cost (information bottleneck). In line with the information bottleneck dimensionality reduction model, BG main axis neurons maintain flat spike crosscorrelation functions, diverse responses to behavioral events, and broadly distributed values of signal and response correlations with zero population mean. On the other hand, the spontaneous and the evoked activity of BG dopaminergic and cholinergic modulators (critics) are significantly correlated. BG plasticity and learning are therefore controlled by homogenous modulators effects associated with local coincidences of cortico-striatal activity.

Brain and Reality: How Does the Brain Generate Perceptions and Actions

Lecture
Date:
Tuesday, June 23, 2009
Hour: 12:30
Location:
Jacob Ziskind Building
Prof. Eilon Vaadia
|
Dept of Medical Neurobiology Hadassah Medical School Hebrew University, Jerusalem

Evoked neural synchrony, visual attention and grouping

Lecture
Date:
Tuesday, June 16, 2009
Hour: 12:30
Location:
Jacob Ziskind Building
Prof. Marius Usher
|
Dept of Psychology, Tel Aviv University

Neural synchrony was proposed as a mechanism for visual attention, and more controversially, for grouping and figure-ground processing. In this talk I will first present evidence showing that evoked Gamma synchrony, via 50Hz subliminal flicker produces attentional orientation in the absence of awareness. Second, I will present data on the effects of evoked synchrony on grouping and figure-ground processing. The results indicate a fast temporal resolution for these processes (<20ms), which is mediated by lateral connections and which is sensitive to synchrony, but not to sustained oscillations of a specific frequency. Collaboration with: S Cheadle, F Bauer, H Mueller.

Large-scale brain dynamics: Functional MRI of spontaneous and optically-driven neural activity

Lecture
Date:
Monday, June 15, 2009
Hour: 12:45
Location:
Arthur and Rochelle Belfer Building for Biomedical Research
Dr. Itamar Kahn
|
Howard Hughes Medical Institute Harvard University

A fundamental problem in brain research is how distributed brain systems work together to give rise to behavior. I seek to advance our understanding of principles underlying the dynamic interaction between multiple neural systems, how the different systems co-operate and/or compete to give rise to goal-directed behavior, and the dynamics of the system when one or more of its components fail. Magnetic resonance imaging (MRI) methods allow us to simultaneously measure the function of multiple brain systems. In humans we can characterize the functional organization and specialization, and compare the system between health and disease. In animal models we can further dissect the circuits underlying these dynamics. In my work I aim to identify functional networks that span multiple cortical and subcortical regions, characterize their responses in the presence and absence of overt behavior, and modulate the observed dynamics. To advance these goals, I am developing new tools that will allow us to study large-scale neural systems across species. In this talk, I will review recent studies that use functional neuroimaging in humans and animal models. I will describe how spontaneous fluctuations of the blood oxygenation level-dependent (BOLD) signal measured with MRI in awake resting humans, reveal functional subdivisions in the medial temporal lobe memory system and parietal and prefrontal cortical components linked to it. I will describe results from non-human primates demonstrating that this functional organization persists across the species, highlighting cortical components that have undergone considerable areal expansion in humans relative to non-human primates, how this method can be used to identify homologue regions, and more generally, what can be learned from a comparative perspective. In the second part of my talk I will describe recent efforts to selectively modulate system dynamics. A lentivirus was used to target excitatory neurons in the rat cortex with light-activated cation channel channelrhodopsin-2. Using photostimulation to activate these neurons we were able to drive the BOLD response locally and in regions anatomically connected to the infected site in a variety of stimulation paradigms. I will discuss implications for understanding the BOLD signal and prospects for this approach in studying the microcircuit as well as large-scale brain dynamics. Finally, I will discuss the challenges and promises of whole-brain imaging in small animals, and how this work can provide avenues to bridge between a basic understanding of human behavior, large-scale neural dynamics, and psychiatric disorders where such dynamics are disrupted.

Optical control of neural population activity and growth

Lecture
Date:
Tuesday, June 9, 2009
Hour: 12:30
Location:
Jacob Ziskind Building
Dr. Shy Shoham
|
Faculty of Biomedical Engineering Technion &#8211; I.I.T. Haifa

Retinal neuroprosthetics can potentially be used to address some of the major degenerative disorders that cause blindness, including Retinitis Pigmentosa and Macular Degeneration, by bypassing the degenerated photoreceptor layer, and interfacing directly the more viable Retinal Ganglion Cells (RGCs). I will describe the development of new optical and computational tools aimed at allowing controlled experimental emulation of activity patterns in a large population of retinal ganglion cells and their correlation structure. First, we introduce new optical systems allowing control of increasingly complex spatiotemporal activity patterns in neural populations, focusing on holographic photo-stimulation which has several fundamental advantages in this application. Next, we introduce a general new computational strategy based on correlation distortions, for controlling and analyzing the pair-wise correlation structure (defined in terms of auto- and cross-correlation functions) in multiple synthetic spike trains. This approach can be used to generate stationary or non-stationary network activity patterns with predictable spatio-temporal correlations. In a final part of the talk I will describe a new approach for exact, flexible control of neurite outgrowth in three-dimensional neural structures, and its possible applications.

Omega-3 fatty acids are essential for neuronal migration and dopaminergic wiring in the developing brain

Lecture
Date:
Wednesday, June 3, 2009
Hour: 12:00
Location:
Nella and Leon Benoziyo Building for Brain Research
Prof. Ephraim Yavin
|
Dept of Neurobiology, WIS

Diminished levels of docosahexaenoic acid (DHA, 22:6n-3), the major polyunsaturated fatty acid (FA) synthesized from alpha linolenic acid (ALA, 18:3n-3), have been implicated in changes in neurotransmitter production, ion channels disruption and impairments of a variety of cognitive, behavioural and motor functions in the developing and the adult mammal. We studied neuronal migration in the cortex and hippocampus of newborn and postnatal rats after ALA-deficiency, beginning on the 2nd day after conception and continuing for three weeks after birth. A marked decrease in the migration of bromodeoxyuridine(+)/NeuN(+)/Neurofilament(+) and glia fibrilary acidic protein(-) neuronal cells to the dense cortical plate was accompanied by a corresponding abundance of non-migrating cells in several regions such as cortical layers IV-VI, corpus callosum and the sub-ventricular zone of ALA-deficient newborn. Similarly, a delayed migration of cells to CA1 and dentate gyrus areas was noticed while most cells were retained in the subicular area adjacent to the hippocampus. The delay in migration was transient most likely due to a temporary reelin disorganization. In addition to these changes a drastic reduction in tyrosine hydroxylase (TH) and vesicular monoamine transporter-2 (VMAT-2) levels, both of which are prerequisites for appropriate synthesis and transport of DA were noticed by RNA subtractive hybridization and proteomic techniques. Concomitantly, a large increase in DA receptors DAR1 and DAR2 were noticed. The transient impairment induced by ALA deprivation may compromise the organization of neuronal assemblies and result in aberrant neuronal connectivity (lateral connections) to enhance the risk of neurodevelopmental disorders including cerebral palsy.

The Neural Dynamics of Perception

Lecture
Date:
Tuesday, June 2, 2009
Hour: 15:00
Location:
Arthur and Rochelle Belfer Building for Biomedical Research
Prof. Donald Katz
|
Dept of Psychology and Neuroscience Brandeis University

Much of the research done in sensory neuroscience is founded on the assumption that "sensory" function can be adequately characterized without knowledge of response dynamics, trial-to-trial variability, between-neuron interactions, or stimulus-response relationships. My lab's research demonstrates that single-neuron taste responses in gustatory cortex (GC) in fact contain dynamics that reflect tight perception-action coupling: across 1.5 sec, these responses progress from first "coding" the presence of taste on the tongue, then the identity of that taste, and finally the taste's palatability. In this talk, I will describe the tests that we have done to relate these response dynamics to changes (attentional, motivational, and learning-related) at longer time-scales, and our evidence that they reflect coherent, attractor-like processes emerging from interactions among local and distributed networks of neurons.

Perception and Brain Plasticity in Humans: New Insights from Phase-locking Fourier Approaches to fMRI

Lecture
Date:
Tuesday, May 26, 2009
Hour: 12:30
Location:
Jacob Ziskind Building
Dr. Amir Amedi
|
Hadassah Medical School Hebrew University Jerusalem

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