All events, All years

Defining the role for prefrontal cortex in memory-guided sensory decision-making

Lecture
Date:
Monday, December 30, 2013
Hour: 15:00
Location:
Nella and Leon Benoziyo Building for Brain Research
Prof. Tatiana Pasternak
|
Dept of Neurobiology and Anatomy, University of Rochester

: I will discuss how sensory information is represented and utilized in the dorsolateral prefrontal cortex (DLPFC) during memory for visual motion tasks. During such tasks, monkeys compare either directions or speeds of two sequential motion stimuli separated by a delay and report whether a current stimulus is the same or different from another held in working memory. We analyzed spiking activity in DLPFC during such tasks, identifying putative local interneurons and putative pyramidal projection neurons, a likely source of top-down influences DLPFC may be exerting on upstream sensory neurons. This analysis revealed that neurons of both types are selective for the speed and the direction of motion, with tuning reminiscent of that recorded in the motion processing area MT. Throughout the memory delay, many DLPFC neurons showed anticipatory rate modulations as well as transient periods of activity reflecting the preceding stimulus, and this activity was represented primarily by the putative pyramidal neurons. During the comparison stimulus, responses of both cell types showed modulation by the remembered stimulus and their activity was highly predictive of the animals’ behavioral report. The similarity in the way DLPFC neurons represent different sensory dimensions provide evidence for the existence of generalized mechanisms in the DLPFC sub-serving all stages of sensory working memory tasks, shedding light on top-down influences this region may be providing to the upstream sensory neurons during such tasks.

How Different Forms of Memory Guide Decisions and Actions

Lecture
Date:
Monday, December 23, 2013
Hour: 14:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Daphna Shohamy
|
Dept of Psychology Columbia University, NY

: A longstanding question at the nexus of cognition and neuroscience concerns the distribution of the labor of learning across different brain systems: what are the different ways in which the brain learns? Recent research has focused on the role of the striatum and midbrain dopamine regions in habitual learning of stimulus-reward associations. However, emerging evidence suggests that the hippocampus – widely known for its role in building flexible memories – is also modulated by reward and innervated by dopamine. This raises new hypotheses about the role of the hippocampus in learning, the unique contributions of the hippocampus and the striatum, and the nature of the relationship between them. I will present studies that address these hypotheses using an integrative approach that combines functional imaging (fMRI) in healthy individuals with studies of learning in patients with selective damage to the striatum or the hippocampus. Converging data from these approaches suggests that both the striatum and the hippocampus contribute to learning, with distinct implications for how learned information guides decisions.

An innovative hybrid of White Light based spinning disk technology and structured illumination

Lecture
Date:
Wednesday, December 11, 2013
Hour: 09:30
Location:
Nella and Leon Benoziyo Building for Brain Research
Bruno Combettes, PhD
|
Andor Microscopy Specialist Andor Technologies

During the seminar we will introduce latest developments in white light Spinning disk confocal technique as well as in active illumination. We will first demonstrate how structured light based spinning disk is giving a high resolution and high confocality solution. Images and movies of various biological samples will be presented. We will also describe the recent developments in active illumination of which can be easily installed on each existing microscope and can be used in Photo-stimulation, uncaging, Ablation etc. We will present images and movies of typical Optogenetics experiments using the new DMD based Mosaic 3. Link to systems: Andor Revolution DSD: http://www.andor.com/microscopy-systems/revolution-dsd Active Illumination: http://www.andor.com/microscopy-systems/active-illumination

The fast and the slow: Neuronal oscillators, feedback, and control in the vibrissa system

Lecture
Date:
Tuesday, December 10, 2013
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. David Kleinfeld
|
Departments of Physics and Neurobiology University of California at San Diego

Prof. Kleinfeld will present recent work on the control of rhythmic whisking in rodents. These studies bear on the apparent role of breathing as a master clock that drives orofacial actions, establishes a hierarchy of control of orofacial behaviors, and may temporally bind different orofacial inputs.

Adaptive Immunity at the Choroid Plexus Shapes Brain Function Throughout Life

Lecture
Date:
Tuesday, December 10, 2013
Hour: 11:00
Location:
Nella and Leon Benoziyo Building for Brain Research
Aleksandra Deczkowska
|
MSc Student, Prof. Michal Schwartz Group Department of Neurobiology

Cortical Inhibition, Excitation and Cognitive Enhancement

Lecture
Date:
Thursday, November 28, 2013
Hour: 13:00
Location:
Gerhard M.J. Schmidt Lecture Hall
Dr. Roi Cohen Kadosh
|
Department of Experimental Psychology University of Oxford, UK

Academic achievements such as math and reading are key predictors for future success at school, university, and later in life. Additionally, failure in these critical capacities negatively impacts the welfare of society as a whole. Current understanding of the link between high-level cognition, such as math and reading, and the brain has been primarily restricted to understanding the relationship between brain structure or function. At the same time a substantial body of animal and clinical research showing that cortical inhibition and excitation at the molecular or cellular levels play a critical role in efficient information transfer in the brain. It has further been suggested that cortical inhibition and excitation affects cognition in humans. I will present several studies that show how cortical inhibition and excitation are linked to high-level cognitive abilities in the child and adult human brain, and specifically how we can exogenously modulate cortical inhibition and excitation to optimise brain functions and improve cognition in typical and atypical populations. Such a multidisciplinary approach has the potential to bridge the separated strands of current research in psychology and education, system and molecular neuroscience, as well as animal models.

TRP channels: what are they and why are they important for understanding neuronal functions

Lecture
Date:
Tuesday, November 19, 2013
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Baruch Minke
|
Depts of Medical Neurobiology, the Institute of Medical Research Israel-Canada (IMRIC), the Edmond and Lily Safra Center for Brain Sciences (ELSC) Faculty of Medicine of the Hebrew University, Jerusalem

Transient receptor potential (TRP) channels constitute a large superfamily of polymodal channel proteins with diverse roles in many transduction and sensory pathways. These channels participate in most sensory modalities (e.g. vision, taste, temperature, pain, pheromone detection) and they either open directly in response to ligands or physical stimuli (e.g. temperature, osmotic pressure, or noxious substances) or, indirectly, downstream of a signal transduction cascade. TRP channels form an evolutionary conserved novel cation channel family consisting of seven subfamilies, which include nearly 30 human members. The founding member of this family was found in Drosophila and was designated TRP by Minke. TRP channels are classified into seven related subfamilies designated TRPC (Canonical or classical), TRPM (Melastatin), TRPN (NompC), TRPV (Vanilloid receptor), TRPA (ANKTM1), TRPP (Polycystin) and TRPML (Mucolipin). Our studies in Drosophila shed new light on the properties of the TRP channels by showing that a constitutive ATP-dependent process is required to keep these channels closed in the dark, a requirement that would make them sensitive to metabolic stress. Since mammalian TRP channels are heavily expressed in the brain, neuronal damage due to ischemia may involves activation of TRP channels.

Dendritic Computation

Lecture
Date:
Thursday, October 17, 2013
Hour: 17:00
Location:
Nella and Leon Benoziyo Building for Brain Research
Prof. Michael Hausser
|
The Wolfson Institute for Biomedical Research University College London

The computational power of single neurons has long been predicted using modelling approaches, but actual experimental examples of how neurons, and in particular their dendrites, can solve computational problems are rare. I will describe experiments using 2-photon glutamate uncaging in vitro, combined with in vivo 2-photon imaging and patch-clamp recording that demonstrate how active dendrites contribute to shaping canonical cortical computations.

Giving the brain a voice by converting traditional EEG into maps of brain activity: implication ranging from sleeping birds to humans with ALS

Lecture
Date:
Thursday, October 17, 2013
Hour: 11:00
Location:
Dolfi and Lola Ebner Auditorium
Dr. Philip Low
|
Founder, Chairman, and CEO of NeuroVigil See: http://www.neurovigil.com/leadership/

Predicting deliberate decisions and the onset of conscious intention

Lecture
Date:
Tuesday, October 8, 2013
Hour: 13:15
Location:
Gerhard M.J. Schmidt Lecture Hall
Dr. Uri Maoz
|
Div. of Biology, California Institute of Technology, Pasadena, CA

Human behavior was shown to be predictable from neural activity before subjects reported having decided on the contents or onset of their actions. This was suggested to challenges the role of consciousness intentions in decision making, and through it have far reaching implications for the notions of free will and moral responsibility. However, these studies focused on non-ecological, arbitrary decisions – like raising the left or right hand for no reason or purpose and with no consequences – which are not typically held to be the hallmarks of freedom, not to mention assigning blame or praise. We wanted to understand to what degree this ability generalizes to deliberate actions, so we analyzed intracranial, human brain activity in a competitive environment – a matching-pennies game. We were increasingly better able to predict such actions with time before movement onset, retrospectively and even online and in real time. We further discovered specific neural differences between deliberate and arbitrary decision making using EEG. And we also found bias activity in monkey DLPFC and striatum that may help explain the early predictions in arbitrary decisions. I will sketch some features of a model of action selection that is congruent with the above findings.

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All events, All years

Dendritic Computation

Lecture
Date:
Thursday, October 17, 2013
Hour: 17:00
Location:
Nella and Leon Benoziyo Building for Brain Research
Prof. Michael Hausser
|
The Wolfson Institute for Biomedical Research University College London

The computational power of single neurons has long been predicted using modelling approaches, but actual experimental examples of how neurons, and in particular their dendrites, can solve computational problems are rare. I will describe experiments using 2-photon glutamate uncaging in vitro, combined with in vivo 2-photon imaging and patch-clamp recording that demonstrate how active dendrites contribute to shaping canonical cortical computations.

Giving the brain a voice by converting traditional EEG into maps of brain activity: implication ranging from sleeping birds to humans with ALS

Lecture
Date:
Thursday, October 17, 2013
Hour: 11:00
Location:
Dolfi and Lola Ebner Auditorium
Dr. Philip Low
|
Founder, Chairman, and CEO of NeuroVigil See: http://www.neurovigil.com/leadership/

Predicting deliberate decisions and the onset of conscious intention

Lecture
Date:
Tuesday, October 8, 2013
Hour: 13:15
Location:
Gerhard M.J. Schmidt Lecture Hall
Dr. Uri Maoz
|
Div. of Biology, California Institute of Technology, Pasadena, CA

Human behavior was shown to be predictable from neural activity before subjects reported having decided on the contents or onset of their actions. This was suggested to challenges the role of consciousness intentions in decision making, and through it have far reaching implications for the notions of free will and moral responsibility. However, these studies focused on non-ecological, arbitrary decisions – like raising the left or right hand for no reason or purpose and with no consequences – which are not typically held to be the hallmarks of freedom, not to mention assigning blame or praise. We wanted to understand to what degree this ability generalizes to deliberate actions, so we analyzed intracranial, human brain activity in a competitive environment – a matching-pennies game. We were increasingly better able to predict such actions with time before movement onset, retrospectively and even online and in real time. We further discovered specific neural differences between deliberate and arbitrary decision making using EEG. And we also found bias activity in monkey DLPFC and striatum that may help explain the early predictions in arbitrary decisions. I will sketch some features of a model of action selection that is congruent with the above findings.

The role of hunger-promoting neurons in higher brain functions

Lecture
Date:
Tuesday, October 1, 2013
Hour: 12:30
Location:
Camelia Botnar Building
Dr. Marcelo O. Dietrich
|
Section of Comparative Medicine, Yale University

Hunger involves complex cognitive functions that rely on the physiological need for energy. The profound impact that hunger has on complex behaviors indicates that neuronal circuitries that promote hunger should control higher brain functions. I will present evidence that activation of hunger-promoting AgRP neurons in the arcuate nucleus of the hypothalamus readily triggers changes in higher brain regions and behaviors, allocating a time-budget to consummatory responses (e.g., eating). In the absence of food, activation of these neurons leads to vast induction of repetitive behaviors, which can be prevented by using serotonin and dopamine reuptake inhibitors. Thus, we unmasked a hypothalamic neuronal population that regulates both homeostatic functions and complex behaviors. More readings: Hypothalamic control of energy balance: insights into the role of synaptic plasticity. Marcelo O Dietrich, Tamas L Horvath. Trends in Neurosciences ; 2013. DOI:10.1016/j.tins.2012.12.005 AgRP neurons regulate development of dopamine neuronal plasticity and nonfood-associated behaviors. Marcelo O Dietrich, Jeremy Bober, Jozélia G Ferreira, Luis A Tellez, Yann S Mineur, Diogo O Souza, Xiao-Bing Gao, Marina R Picciotto, Ivan Araújo, Zhong-Wu Liu, Tamas L Horvath. Nature Neuroscience 2012; 15(8):1108-10 AgRP neurons: the foes of reproduction in leptin-deficient obese subjects. Marcelo O Dietrich, Tamas L Horvath. Proceedings of the National Academy of Sciences.2012; 109(8):2699-700 See also: http://www.researchgate.net/profile/Marcelo_Dietrich/publications/

Hippocampus longitudinal axis and memory: Location, location, location

Lecture
Date:
Monday, August 12, 2013
Hour: 13:00
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Etan Markus
|
University of Connecticut, Storrs

Mechanisms of vocal learning in songbirds and humans

Lecture
Date:
Tuesday, July 30, 2013
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Dr. Dina Lipkind
|
Department of Psychology Hunter College, City University of New York

Abstract: Songbirds are a great model for studying how the brain solves the challenges of vocal imitation, because, like human infants, young songbirds learn to produce complex vocal sequences that are exact copies of those of adult conspecifics. To study how this feat is accomplished, we experimentally induce birds to perform song learning tasks, by exposing them sequentially to two different songs and recording their entire vocal output during the process. Applying this methodology to vocal combinatorial learning, we trained juvenile zebra finches to swap syllable order in their song, or insert a new syllable into a string. Birds solved these permutation tasks gradually, by a series of steps in which novel pair-wise transitions between syllables were acquired one by one. This effect was confirmed in the development of vocal babbling in human infants, suggesting the existence of a common generative process of acquiring vocal combinatorial ability that is conserved across species. We next used the same methodology to study the conversion of an auditory memory of a target song into a motor program performing the same song, a long-standing hypothesis in vocal learning. To do this, we induced birds to change both global song structure (syllable order) and its local structure (pitch of individual syllables). We found that birds matched the pitch of syllables to the most acoustically similar target in the tutor song, regardless of global context, resulting in an intermediate-stage song in which the correct syllables were sung in the wrong order. These results refute a sensory-motor learning mechanism where a target song memory is recalled by temporal order, and suggest that instead, parts of the song memory are recalled in a motor driven way, according to their similarity to sung syllables. Consequently, two distinct mechanisms are required to accomplish the learning of a vocal sequence: 1. Local matching of the acoustic structure of individual units in the sequence; and 2. Global matching of sequence order. Our results present the first experimental evidence of how an internal sensory template is used to guide the development of the motor program for song.

Law and Order in Visual Cortical Evolution

Lecture
Date:
Wednesday, June 26, 2013
Hour: 11:30
Location:
Nella and Leon Benoziyo Building for Brain Research
Prof. Dr. Fred Wolf
|
Max Planck Institute for Dynamics and Self-Organization, Goettingen, Germany.

Over the past 65 million years, the evolution of mammals led - in several lineages - to a dramatic increase in brain size. During this process, some neocortical areas, including the primary sensory ones, expanded by many orders of magnitude. The primary visual cortex, for instance, measured about a square millimeter in late cretaceous stem eutherians but in homo sapiens comprises more than 2000 mm2. If we could rewind time and restart the evolution of large and large brained mammals, would the network architecture of neocortical circuits take the same shape or would the random tinkering process of biological evolution generate different or even fundamentally distinct designs? In this talk, I will argue that, based on the consolidated mammalian phylogenies available now, this seemingly speculative question can be rigorously approached using a combination of quantitative brain imaging, computational, and dynamical systems techniques. Our studies on visual cortical circuit layout in a broad range of eutherian species indicate that neuronal plasticity and developmental network self-organization have restricted the evolution of neuronal circuitry underlying orientation columns to a few discrete design alternatives. Our theoretical analyzes predict that different evolutionary lineages adopt virtually identical circuit designs when using only qualitatively similar mechanisms of developmental plasticity.

On Cinema and Memory, a conversation between Ari Folman (Waltz with Bashir) and Yadin Dudai

Lecture
Date:
Tuesday, June 25, 2013
Hour: 16:00
Location:
Dolfi and Lola Ebner Auditorium
Ari Folman (Waltz with Bashir) and Yadin Dudai

Evolutionary tradeoff and the geometry of phenotype space

Lecture
Date:
Tuesday, June 25, 2013
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Uri Alon
|
Molecular Cell Biology and Physics of Complex Systems, WIS

Applied Population Neuronal Interfaces:Some New Methods and Results

Lecture
Date:
Tuesday, June 18, 2013
Hour: 12:30
Location:
Arthur and Rochelle Belfer Building for Biomedical Research
Prof. Shy Shoham
|
Faculty of Biomedical Engineering, Technion, Haifa

The talk will present several recent steps in the development and application of tools for controlling and monitoring large neuronal populations and their potential application in medicine. I will first describe holographic stimulation approaches (photonic or acoustic) for simultaneous patterned control of populations of retinal ganglion cells with millisecond temporal precision and cellular resolution, and its early translation to in vivo conditions. Next, I will present recent results demonstrating highly structured encoding of speech features in neuronal populations recorded in human subjects, and the development of a simple and effective decoding strategy and structural inference for this data (joint work with Itzhak Fried and Ariel Tankus). The final part of the talk will describe the development of a rapid multiphoton temporal-focusing microscope allowing to monitor activity in >1000 neurons simultaneously in "optonet" artificial neural networks.

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