Physiology and Biophysics

Seminars

Oct
26
Thu
2017
PBIO Seminar Series: Brian Kalmbach @ HSB G-328
Oct 26 @ 9:30 am – 10:30 am

“Of Mice and Men: Intrinsic Membrane Properties of Human Cortical Pyramidal Neurons”

Brian Kalmbach, Ph.D.

Allen Institute for Brain Science

host: Nikolai Dembrow

Nov
2
Thu
2017
2017 Lamport Lecture – Gilles Laurent @ T-739 HSB
Nov 2 @ 4:00 pm – 5:00 pm

Evolution and brain computation

I will introduce our work towards identifying principles of brain function and computation, focused on using comparative approaches and exploiting unusual model systems (reptiles, cephalopods) to study sleep, texture perception and cerebral cortex evolution.

Gilles Laurent, PhD, DVM

Director

Max Planck Institute for Brain Research

http://www.brain.mpg.de/home/

 

4:00 PM

Location: T-739, HSB

 

host: Stan Froehner

Dec
7
Thu
2017
PBIO Seminar Series: Nikolai Dembrow @ HSB G-328
Dec 7 @ 9:30 am – 10:30 am

Title: TBA

Nikolai Dembrow, PhD

host: Stan Froehner

Jan
9
Tue
2018
PBIO Seminar: Rishidev Chaudhuri @ HSB G-328
Jan 9 @ 9:30 am – 10:30 am

“Cognitive manifolds and their dynamics across states and areas”

Rishidev Chaudhuri, PhD.
Center for Learning & Memory
The University of Texas at Austin

Host: Stanley C. Froehner

Jan
16
Tue
2018
PBIO Seminar: Ashok Litwin-Kumar, PhD @ HSB G-328
Jan 16 @ 9:30 am – 10:30 am

“Randomness and structure in neural representations for learning”

Ashok Litwin-Kumar, PhD
Center for Theoretical Neuroscience
Columbia University

Host: Stanley C. Froehner

Jan
25
Thu
2018
Canceled – Seminar: Amy Bastian, PhD @ HSB G-328
Jan 25 @ 9:30 am – 10:30 am

Canceled

Dr. Bastian’s seminar will be rescheduled for a later date.

 

 

Learning and Relearning Movement

Human motor learning depends on a suite of brain mechanisms that are driven by different signals and operate on timescales ranging from minutes to years. Understanding these processes requires identifying how new movement patterns are normally acquired, retained, and generalized, as well as the effects of distinct brain lesions. The lecture focuses on normal and abnormal motor learning and how we can use this information to improve rehabilitation for individuals with neurological damage

Amy Bastian, Ph.D.
Professor of Neuroscience
Johns Hopkins University

 

Host: John Tuthill

 

Feb
1
Thu
2018
PBIO Seminar: Julijana Gjorgieva, PhD @ HSB G-328
Feb 1 @ 9:30 am – 10:30 am

Organizing principles in developing networks and sensory populations

Julijana Gjorgieva, PhD
Research Group Leader,
Max Planck Institute for Brain Research
Assistant Professor for Computational Neuroscience,
Technical University of Munich

Host: Stanley C. Froehner

Science in Medicine – Linda Wordeman @ D-209, HSB
Feb 1 @ 11:30 am – 12:30 pm

“Curious Intersection Between DNA Repair and Microtubule Dynamics”

Linda Wordeman, Ph.D
Professor
Physiology & Biophysics, UW

Dr. Linda Wordeman, Ph.D. uses high resolution live imaging to discover how changes in microtubule dynamics influence chromosome segregation and Chromosome INstability (CIN) in cancer cells. Dr. Wordeman will describe, mechanistically, how small changes in microtubule assembly dynamics promote CIN and reveal evidence for unexpected pathways, such as DNA damage repair, that may directly impact cellular mictrotubule dynamics.

Feb
5
Mon
2018
PBIO Seminar: Scott Linderman, PhD @ HSB G-328
Feb 5 @ 9:30 am – 10:30 am

Discovering Structure in Neural and Behavioral Data

Scott Linderman, PhD
Department of Statistics
Columbia University

 

Abstract:

New recording technologies are transforming neuroscience, allowing us to precisely quantify neural activity, sensory stimuli, and natural behavior.  How can we discover simplifying structure in these high-dimensional data and relate these domains to one another? I will present my work on developing statistical tools and machine learning methods to answer this question.  With two examples, I will show how we can leverage prior knowledge and theories to build models that are flexible enough to capture complex data yet interpretable enough to provide new insight. Alongside these examples, I will discuss the Bayesian inference algorithms I have developed to fit such models at the scales required by modern neuroscience.  First, I will develop models to study global brain states and recurrent dynamics in the neural activity of C. elegans.  Then, I will show how similar ideas apply to data that, on the surface, seem very different: movies of freely behaving larval zebrafish.  In both cases, these models reveal how complex patterns may arise by switching between simple states, and how state changes may be influenced by internal and external factors.  These examples illustrate a framework for harnessing recent advances in machine learning, statistics, and neuroscience.  Prior knowledge and theory serve as the main ingredients for interpretable models, machine learning methods lend additional flexibility for complex data, and new statistical inference algorithms provide the means to fit these models and discover structure in neural and behavioral data.

Host: Stanley C. Froehner

 

Feb
15
Thu
2018
PBIO Seminar Series: Bernhard Flucher @ HSB G-328
Feb 15 @ 9:30 am – 10:30 am

How and why are the currents of CaV1.1 calicum channels curtailied in skeletal muscle?

The presentation will include structure-function studies on CaV1 channels and analyses of the role of the calcium current in muscle fiber type specification and neuro-muscular junction formation using various mouse models.

Bernhard Flucher, PhD

Professor
Department of Physiology and Medical Physics
Medizinische Universität Innsbruck

host: Stan Froehner

May
3
Thu
2018
2018 Hille Lecture – Doris Tsao @ HSB G-328
May 3 all-day

Doris Tsao

Professor of Biology
HHMI Investigator
California Institute of Technology

time: TBD
location: TBD

host: Stan Froehner

May
10
Thu
2018
2018 Crill Lecture – J. Anthony Movshon @ HSB G-328
May 10 all-day

Time & Location TBA

J. Anthony Movshon, PhD

Professor, Department of Ophthalmology

Professor, Department of Neuroscience and Physiology

Jun
7
Thu
2018
PBIO Seminar Series: Amy Bastian @ HSB G-328
Jun 7 @ 9:30 am – 10:30 am

Learning and Relearning Movement

Human motor learning depends on a suite of brain mechanisms that are driven by different signals and operate on timescales ranging from minutes to years. Understanding these processes requires identifying how new movement patterns are normally acquired, retained, and generalized, as well as the effects of distinct brain lesions. The lecture focuses on normal and abnormal motor learning and how we can use this information to improve rehabilitation for individuals with neurological damage

Amy Bastian, Ph.D.
Professor of Neuroscience
Johns Hopkins University

Host: John Tuthill