All events, All years

Cortical Dynamics: bottom-up and local effects

Lecture
Date:
Tuesday, March 6, 2012
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Ilan Lampl
|
Dept of Neurobiology, WIS

Abstract: Adapting coding is ambiguous - the same response may have a different meaning depending on the history and the context of the stimulus. Using intracellular recordings in the brainstem of rats we found that changing the intensity of tactile stimulation has an opposite effect on the degree of adaptation in two major brainstem somatosensory subnuclei. Interestingly, using single cell and LFP recordings we found strong ‘signatures’ for these adaptation patterns in different cortical layers in a manner that was exactly predicted from previous in-vitro studies. We suggest that converging inputs from these ascending pathways in the cortex may partially solve the ambiguity of adapting coding. In the second part I will describe how the balance between excitation and inhibition is affected by adapting stimulation and how it is modulated by different cortical states. In particular, I will show that adaptation skews the balance toward excitation and that unexpectedly this process can facilitate cortical response to subsequent stimulation. In addition, by manipulating the depth of anesthesia we found that slow brain activity is characterized by enhanced inhibitory inputs but surprisingly without a significant effect on the magnitude of excitation, which suggests that despite the recurrent connectivity in the cortex some level of decoupling exists between cortical excitation and inhibition.

From Neuron to Network: The Role of DOC2B in Synaptic Transmission and Neuronal Burst Activity

Lecture
Date:
Tuesday, February 28, 2012
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Uri Ashery
|
Dept of Neurobiology, Tel Aviv University

The plasticity of the brain plays a key role in shaping our behavior, learning and memory. It is well known that plasticity is associated with alteration in synaptic strength and efficacy. Some of these effects correlate with changes in the levels of synaptic proteins. However, the implications of genetic alteration in synaptic proteins on the network activity of neurons are not known. We examine the effect of DOC2B, a synaptic neuronal Ca2+ sensor that is known for its ability to enhance synaptic transmission, on neuronal network activity. For that purpose we use MicroElectrode Array (MEA) technology to simultaneously record action potentials from multiple neurons in ex vivo neuronal network. Networks grown on MEA plates exhibit a repeated pattern of synchronized network-wide spiking activity (network burst) separated by periods of reduced activity. At the single-neuron level, DOC2B increased the frequency of spontaneous neurotransmitter release. However, its effect at the network level was restricted to the network bursts and was reflected as an increase in the number of spikes and the number of active neurons throughout the network burst, while surprisingly there was no effect on inter-burst spiking activity. In addition, DOC2B enhanced the number of full-blown network bursts, suggesting an impact on the input/output ratio of synaptic transmission. Further analysis suggested DOC2B’s activity was augmented during neuronal bursts and enhanced spontaneous and asynchronous release. This can increase the neuron’s sensitivity to incoming EPSPs and the number of spikes in the network burst. Additionally, our experiments support the hypothesis that DOC2B efficiently enhances synaptic refilling. Hence, this work shows that the changes at the network level complemented our knowledge on the cellular activity of DOC2B and suggests a role for DOC2B in shaping the firing properties of highly active neuronal networks.

Body Representation and Self-Consciousness From Embodiment to Minimal Phenomenal Selfhood

Lecture
Date:
Tuesday, February 14, 2012
Hour: 14:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Thomas Metzinger
|
Department of Philosophy University of Mainz, Germany

As a philosopher, I am interested in the relationship between body representation and the deep structure of self-consciousness. My epistemic goal in this lecture will be the simplest form of phenomenal self-consciousness: What exactly are the essential non-conceptual, pre-reflexive layers in conscious self-representation? What constitutes a minimal phenomenal self? Conceptually, I will defend the claim that agency is not part of the metaphysically necessary supervenience-basis for bodily self-consciousness. Empirically, I will draw on recent research focusing on out-of-body experiences (OBEs) and full-body illusions (FBIs). I will then proceed to sketch a new research program and advertise a new research target: "Minimal Phenomenal Selfhood", ending with an informal argument for the thesis that agency or “global control”, phenomenologically as well as functionally, is not a necessary condition for self-consciousness.

The timing of stress: relevance for its effect on rodent and human brain

Lecture
Date:
Thursday, February 9, 2012
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Marian Joels
|
Dept of Neuroscience and Pharmacology University Medical Center Utrecht, The Netherlands

Exploration of anatomy and physiology of oxytocin and vasopressin brain systems by recombinant viruses

Lecture
Date:
Wednesday, February 8, 2012
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Dr. Valery Grinevich
|
Dept of Molecular Neurobiology Max-Planck-Institute for Medical Research, Heidelberg

How We Know That We Know:The Process Underlying Subjective Confidence

Lecture
Date:
Tuesday, January 31, 2012
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Asher Koriat
|
Institute of Information Processing and Decision Making University of Haifa

How do people monitor the correctness of their answers and judgments? A self-consistency model is proposed for the basis of confidence judgments and their accuracy. The model assumes that the process underlying subjective confidence in general-knowledge questions and perceptual judgments has much in common with that underlying statistical inference about the outside world. Participants behave like intuitive statisticians who attempt to reach a conclusion about a population on the basis of a small sample of observations. Subjective confidence is based on the sampling of clues from memory, and represent an assessment of the likelihood that a new sample will yield the same decision. Results consistent with the model were obtained across several two-alternative forced-choice tasks. The model explains some of the basic observations about subjective confidence and generates new predictions.

Slick. How smooth and attractive can it be, given our brain?

Lecture
Date:
Tuesday, January 24, 2012
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Alessandro Treves
|
Cognitive Neuroscience, SISSA, Trieste, Italy

It has taken about 30 years for the notion of attractor dynamics to get the attention of the experimental neuroscience community. Now that some are beginning to investigate the more sophisticated idea of continuous attractors, where marginal stability can be used for cognitive operations such as path integration or the prediction of the consequences of one's own actions, it is time to tell the truth about continuous attractors. I will discuss a quantitative approach to the smoothness of the spatial maps that can be established in the CA3 hippocampal network, and suggest that in the space of memories, we may jump more often than slide.

Neuronal Avalanches

Lecture
Date:
Thursday, January 19, 2012
Hour: 12:00
Location:
Nella and Leon Benoziyo Building for Brain Research
Dr. Nir Friedman
|
University of Illinois

In recent years, experiments detecting the electrical firing patterns in slices of in vitro brain tissue have been analyzed to suggest the presence of scale invariance and possibly criticality in the brain. Much of the work done however has been limited in two ways: 1) the data collected is from local field potentials that do not represent the firing of individual neurons; 2) the analysis has been primarily limited to histograms. In our work we examine data based on the firing of individual neurons (spike data), and greatly extend the analysis by considering shape collapse and exponents. Our results strongly suggest that the brain operates near a tuned critical point of a highly distinctive universality class.

Post-traumatic Stress Disorder-Seeking a Biological Anchor

Lecture
Date:
Tuesday, January 17, 2012
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Arieh Shalev
|
Department of Psychiatry The Hebrew University and Hadassah School of Medicine, Jerusalem

Medical treatment enjoys revolutionary progress with the advent of molecular biology and tissue/cell- targeted therapies. Psychiatric treatment, for which there is no target tissue, lags behind. In this lecture I will present the sequence of describing Post-traumatic Stress Disorder and exploring its putative biology in our laboratory, and others, to illustrate some of the difficulties of going backward from Bedside to Bench in psychiatry. Specifically, the phenotype's complexity and instability have defied, so far, any simplistic biological model. Models of higher complexity have not been clearly formulated. Psychiatric nomenclature and classification must be challenged as well.

Role of medial prefrontal cortex neuronal ensembles in context-induced relapse to heroin

Lecture
Date:
Tuesday, January 17, 2012
Hour: 10:00
Location:
Nella and Leon Benoziyo Building for Brain Research
Dr. Yavin Shaham
|
Behavioral Neuroscience Branch
 NIH/NIDA/IRP, Baltimore, MD, USA

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All events, All years

Neuronal Avalanches

Lecture
Date:
Thursday, January 19, 2012
Hour: 12:00
Location:
Nella and Leon Benoziyo Building for Brain Research
Dr. Nir Friedman
|
University of Illinois

In recent years, experiments detecting the electrical firing patterns in slices of in vitro brain tissue have been analyzed to suggest the presence of scale invariance and possibly criticality in the brain. Much of the work done however has been limited in two ways: 1) the data collected is from local field potentials that do not represent the firing of individual neurons; 2) the analysis has been primarily limited to histograms. In our work we examine data based on the firing of individual neurons (spike data), and greatly extend the analysis by considering shape collapse and exponents. Our results strongly suggest that the brain operates near a tuned critical point of a highly distinctive universality class.

Post-traumatic Stress Disorder-Seeking a Biological Anchor

Lecture
Date:
Tuesday, January 17, 2012
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Arieh Shalev
|
Department of Psychiatry The Hebrew University and Hadassah School of Medicine, Jerusalem

Medical treatment enjoys revolutionary progress with the advent of molecular biology and tissue/cell- targeted therapies. Psychiatric treatment, for which there is no target tissue, lags behind. In this lecture I will present the sequence of describing Post-traumatic Stress Disorder and exploring its putative biology in our laboratory, and others, to illustrate some of the difficulties of going backward from Bedside to Bench in psychiatry. Specifically, the phenotype's complexity and instability have defied, so far, any simplistic biological model. Models of higher complexity have not been clearly formulated. Psychiatric nomenclature and classification must be challenged as well.

Role of medial prefrontal cortex neuronal ensembles in context-induced relapse to heroin

Lecture
Date:
Tuesday, January 17, 2012
Hour: 10:00
Location:
Nella and Leon Benoziyo Building for Brain Research
Dr. Yavin Shaham
|
Behavioral Neuroscience Branch
 NIH/NIDA/IRP, Baltimore, MD, USA

Optogenetics in Primates: Progress and Opportunities for System Neuroscience and Neuroprosthetics

Lecture
Date:
Tuesday, January 10, 2012
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Dr. Ilka Diester
|
Ernst Strungmann Institute, Max Planck, Frankfurt

Optogenetics is a versatile technology which is based on light sensitive membrane proteins. Those membrane proteins are called opsins. They are derived from microbial organisms which use them to orient themselves towards or away from light of specific wavelengths. Surprisingly, opsins can be safely integrated into the membranes of neurons by using viral vectors or transgenetic techniques, thus making the neurons light-sensitive without causing any aversive reaction. When shining light pulses of different wavelengths on the opsin-expressing neurons, we can either elicit or inhibit an action potential depending on the introduced opsin. Channelrhodopsin-2, for example, is an excitatory opsin which causes neurons to spike under the influence of blue light while Halorhodopsin silences neurons during the presence of yellow light. Although just six years have passed since the term optogenetics was coined, the technique quickly became one of the favorite toys of system neuroscientists. It is already used worldwide in flies, fish and rodents. Now, monkeys bring new requirements to the table. Monkeys are extremely valuable animals and are typically trained for months or years. Hence, the number of experiments with each animal is limited and each experiment has to be well planned and be conducted with exceptional care. The efforts are well justified. Monkeys resemble humans in their cognitive abilities and fine motor skills more than any other standard animal model. They can learn categories, rules and associations, come to decisions, and grasp and manipulate objects in a very human like manner. The neural correlates of these abilities are encoded in areas that are similar to human brain areas. These similarities make monkeys essential for the translation of knowledge, techniques and cures from simpler animal models, such as rodents, to humans. I will discuss recent progress in optogenetics in primates and give a glimpse on putative medical applications with a focus on bidirectional neuroprosthetic devices. Neuroprosthetics is a field which aims to help people who lost control over one or more of their limbs due to a spinal cord injury, a neural disease, a stroke, or an amputation. By reading out signals directly from cortex, decoding them, and using these decoded signals to control a prosthetic device we can bypass the faulty circuits. I will describe the opportunities which optogenetics provide for writing in tactile information. This could allow the users of neural prostheses to not only control a robotic arm but also to feel what they are grasping.

Embracing disorder: making sense of complex population codes

Lecture
Date:
Wednesday, January 4, 2012
Hour: 13:00
Location:
Gerhard M.J. Schmidt Lecture Hall
Dr. Omri Barak
|
Dept of Neuroscience, Columbia University, NY

What is the nature of neural representations? Many studies addressing this question searched for single neurons with easily interpretable activity profiles, even though all cognitive tasks require the joint activity of a large population of neurons. In this talk I highlight the "other" neurons, and show that when considered as a population these "disordered" neurons can support behavioral tasks - and are even a better substrate for flexible tasks than "ordered" neurons are. Using a combination of data analysis from the labs of Ranulfo Romo and Earl Miller with numerical simulations and analytical calculations I will try to make all of these notions and statements more rigorous and precise.

Mini-Symposium-Windows into the Mind:New Approaches to Brain and Cognition

Lecture
Date:
Tuesday, January 3, 2012
Hour: 13:45 - 16:30
Location:
Arthur and Rochelle Belfer Building for Biomedical Research

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Mini-Symposium-Windows into the Mind:New Approaches to Brain and Cognition

Lecture
Date:
Tuesday, January 3, 2012
Hour: 13:45 - 16:30
Location:
Arthur and Rochelle Belfer Building for Biomedical Research

Homepage

Modeling associative retrieval from long-term memory

Lecture
Date:
Tuesday, December 27, 2011
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Misha Tsodyks
|
Department of Neurobiology, WIS

The question I will address in the lecture is how information is retrieved from memory when there are no precise item-specific cues. Real life examples are when you try to recall the names of your class-mates, or your favorite writers, or places to see in Rome. I hypothesize that in this situation, retrieval occurs in an associative manner, i.e. each recalled item is triggering the retrieval of a subsequent one. Mathematically this problem can be reduced to random graphs, and general results about the retrieval capacity of the recall can be derived. The main conclusion of the analysis is that retrieval capacity is severely limited, such that only a small fraction of items can be recalled, with characteristic power-law scaling with the total number of items in memory. Theoretical results can be compared to free recall experiments and surprisingly good agreement is observed

Modeling associative retrieval from long-term memory

Lecture
Date:
Tuesday, December 27, 2011
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Misha Tsodyks
|
Department of Neurobiology, WIS

The question I will address in the lecture is how information is retrieved from memory when there are no precise item-specific cues. Real life examples are when you try to recall the names of your class-mates, or your favorite writers, or places to see in Rome. I hypothesize that in this situation, retrieval occurs in an associative manner, i.e. each recalled item is triggering the retrieval of a subsequent one. Mathematically this problem can be reduced to random graphs, and general results about the retrieval capacity of the recall can be derived. The main conclusion of the analysis is that retrieval capacity is severely limited, such that only a small fraction of items can be recalled, with characteristic power-law scaling with the total number of items in memory. Theoretical results can be compared to free recall experiments and surprisingly good agreement is observed.

Local brain oscillations of sleep and sleepiness

Lecture
Date:
Wednesday, December 21, 2011
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Dr. Yuval Nir
|
Dept of Psychiatry, University of Wisconsin-Madison

Slow waves and sleep spindles are the two fundamental brain oscillations of NREM sleep, yet they have been mostly studied in vitro, under anesthesia, within few brain regions or with scalp EEG recordings. We examined intracranial depth EEG and single-unit activity recorded simultaneously in up to 12 brain regions in neurosurgical patients to better characterize regional diversity in these sleep oscillations. First, we found changes in spindle occurrence, frequency, and timing between regions and across sleep, reflecting anatomical projections and thalamocortical hyperpolarization levels that change with sleep depth. We further show that both slow waves (and the underlying active and silent neuronal states) and sleep spindles occur mostly locally, thereby showing that constrained intracerebral communication is an important feature of sleep. Next, we confirmed that in freely behaving rats, slow waves and silent periods in sleep likewise occur predominantly locally. Moreover, after a long period of being awake, while both EEG and behavior indicate wakefulness, local populations of neurons go offline, exhibiting "local sleep". We are now exploring whether such local sleep may lead to cognitive consequences, such as lapses of attention, in awake people who are sleep deprived Another line of research focuses on disconnection from the external environment - conditions in which sensory stimuli fail to be incorporated into our perceptual stream. To this end, we are examining neuronal responses to sounds in rats across spontaneous vigilance states with an emphasis on comparing wakefulness with REM sleep. Responses of individual neurons in primary auditory cortex are comparable in wake and sleep, calling into question the proposal that the thalamus does not relay peripheral signals effectively to the cortex in sleep. Important differences between waking and sleep may lie in how signals propagate across cortical regions and layers.

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