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Monday, June 19, 2017

A Deeper Understating of Deep Learning - Why Deep Neural Networks work so well?

Seminar: Redwood Seminar | June 19 | 12-1:30 p.m. | 560 Evans Hall


Naftali Tishby, The Hebrew University of Jerusalem

Neuroscience Institute, Helen Wills


Through analytical and numerical studies of Deep Neural Networks (using standard TensorFlow) in the ""Information Plane"" - the Mutual Information the network layers preserve on the input and the output variables - we obtain the following new insights:

1. The training epochs, for each layer, are divided into two phases: (1) fitting the training data - increasing the mutual information on the...   More >

Monday, July 3, 2017

Fast multimodal neuroimaging for tracking whole-brain dynamics

Seminar: BIC Seminar | July 3 | 1-2:30 p.m. | 125 Li Ka Shing Center


Laura Lewis, Harvard MGH

Neuroscience Institute, Helen Wills


Many aspects of cognition take place on a timescale of hundreds of milliseconds, and measuring neural activity in this frequency range is essential for neuroscience. However, current non-invasive neuroimaging methods are not able to precisely localize oscillatory neural activity above 0.2 Hz. We show that fast fMRI acquisition enables the direct detection of neural oscillations with frequencies...   More >

Thursday, July 6, 2017

7T MRI: A Game-changer for Imaging Neuroscience

Seminar: BIC Seminar | July 6 | 2-3:30 p.m. | 125 Li Ka Shing Center


Robert Turner, Max Planck Institute for Human Cognitive and Brain Sciences

Neuroscience Institute, Helen Wills


Psychiatry as a branch of medicine relies on good systems neuroscience of the human brain. When fMRI was first invented in 1990-91, with its non-invasive high spatial resolution mapping of evoked brain activity, many researchers hoped that rapid progress would ensue in understanding mental illness. However, the hope-for gains have been slow to materialize. I argue that inadequate efforts have so...   More >

Friday, July 7, 2017

Imaging cortical columns and cortical layers at 7 and 9.4 Tesla: From sensory mapping to cognitive applications

Seminar: Neuroscience Seminar | July 7 | 1-2:30 p.m. | 125 Li Ka Shing Center


Rainer Goebel, Maastricht University

Neuroscience Institute, Helen Wills


Ultra-­high magnetic field (UHF) fMRI at 7 Tesla and higher enables measurement of human brain activity with sub-­millimeter spatial resolution allowing to differentiate brain activation at the mesoscopic level of cortical layers and columnar-­like feature clusters. Recent experiments show that it is possible to map known columnar organizations in specialised brain areas (e.g. V1-­V3, A1, hMT,...   More >

Saturday, July 15, 2017

Science at Cal Lecture - Mapping how language is represented in the human brain

Lecture | July 15 | 11 a.m.-12:30 p.m. | 100 Genetics & Plant Biology Building


Dr. Alex Huth

Science@Cal


In the past decade one trend in neuroscience has been to switch away from using simple, controlled experiments, and instead to study how the brain reacts to more complex, natural situations. Alex Huth will talk about one experiment in which subjects listened to hours of natural, narrative stories from The Moth Radio Hour while undergoing fMRI scanning. In order to take advantage of this complex,...   More >


All Audiences, Alumni, Faculty, Friends of the University, General Public, Staff, Students - Graduate, Students - Prospective, Students - Undergraduate, Cal Parents

All Audiences, Alumni, Faculty, Friends of the University, General Public, Staff, Students - Graduate, Students - Prospective, Students - Undergraduate, Cal Parents

Tuesday, July 18, 2017

State Dependent Modulation of Perception Based on a Computational Model of Conditioning

Seminar: Redwood Seminar | July 18 | 12:30-2 p.m. | 560 Evans Hall


Jordi Puigbò, Universitat Pompeu Fabra (Barcelona - Spain)

Neuroscience Institute, Helen Wills


The embodied mammalian brain evolved to adapt to an only partially known and knowable world. The adaptive labeling of the world is critically dependent on the neocortex which in turn is modulated by a range of subcortical systems such as the thalamus, ventral striatum, and the amygdala. A particular case in point is the learning paradigm of classical conditioning, where acquired representations...   More >

Tuesday, August 15, 2017

The Stabilized Supralinear Network, or, The Importance of Being Loosely Balanced (Miller) / Spatiotemporal profiles of spiking variability in recurrent networks (Doiron)

Seminar: Redwood Seminar | August 15 | 12-1:30 p.m. | 560 Evans Hall


Ken Miller, Columbia University; Brent Doiron, University of Pittsburgh

Neuroscience Institute, Helen Wills


Miller: I will describe the Stabilized Supralinear Network mechanism and its application to understanding sensory cortical behavior. The mechanism is based on a network of excitatory (E) and inhibitory (I) neurons with very simple assumptions: (1) Individual neurons have an expansive or supralinear input/output functions, e.g. a power law with power >1; (2) Feedback inhibition is sufficiently...   More >

Wednesday, August 16, 2017

Thursday, August 17, 2017

Discovering Relationships and their Structures Across Disparate Data Modalities

Seminar: Redwood Seminar | August 17 | 12-1:30 p.m. | 560 Evans Hall


Joshua Vogelstein, Johns Hopkins University

Neuroscience Institute, Helen Wills


Determining whether certain properties are related to other properties is fundamental to scientific discovery. As data collection rates accelerate, it is becoming increasingly difficult yet ever more important to determine whether one property of data (e.g., cloud density) is related to another (e.g., grass wetness). Only if two properties are related are further investigations into the geometry...   More >

Tuesday, August 29, 2017

Wednesday, September 20, 2017

Wednesday, January 24, 2018

Department of Molecular and Cell Biology

Seminar | January 24 | 3:30-4:30 p.m. | 100 Genetics & Plant Biology Building


Hillel Adesnik, University of California, Berkeley, Molecular and Cell Biology

Department of Molecular and Cell Biology