Lecture Schedule

Didactic Lectures


Introduction to Modern Neuroscience

   June 12 Leifer Methods for measuring neuronal signals
   June 13 Berry Electrochemistry, V-clamp, gNa, gK, Hodgkin-Huxley model
   June 14 Berry Integrate and fire model, slow conductances, bursting, bistability
   June 15 Wang Synaptic transmission, the first 10,000 milliseconds
   June 16 Boulanger Molecular neuroscience

Molecular Methods for Identifying and Targeting Defined Neural Populations

   June 19 Leifer
Ghazanfar
Wang
Optogenetics in C. elegans
Developmental neuromechanics of vocal communication
Noon talk on Research Reproducibility (lunch provided)
   June 20 Wang Plasticity and learning rules
   June 21 Tank
Gross
Sequence generation & place cells: experiments and models
Noon talk on Ethical Conduct of Research (lunch provided)
   June 22 Niv
Daw
Reinforcement learning I
Reinforcement learning II
   June 23 Shaevitz Quantitative methods for animal behavior

Structural Neurobiology & Connectomics

   June 26 Enquist Viral vectors for circuit exploration
   June 27 Seung Computational Connectomics
   June 28 Gould
Witten
Hippocampus and plasticity through the lifespan
Optical dissection of reward circuits

Large Scale Recording Technology

   June 29 Brody Models of persistent neural activity and attractor networks
   June 30 Berry
Murthy
Electrode array recordings to study retinal dynamics
Genetic tools for systems neuroscience

Models of Information Processing

   July 3 Bialek Statistical mechanics for networks of real neurons
   July 4 Pillow Statistical models for neural coding: generalized linear models & beyond

Human Neuroscience Methods

   July 5 Norman
Pinsk
Cognitive neuroscience of learning and memory
Neuroimaging methods as support tools for network level recordings in monkeys
   July 6 Cohen Neural mechanisms for decision making and cognitive control
MiniSymposium: Neurology and Dynamics
   July 7 Lewis (UPitt)
Brown (MIT)
Impaired Cortical Oscillations and Cognitive Dysfunction in Schizophrenia
Dynamics of the Unconscious Brain Under General Anesthesia

Laboratory Exercises

   June 12 Intracellular recording, synaptic physiology I
   June 13 Intracellular recording, synaptic physiology II
   June 14 Short-term potentiation (STP); facilitation I
   June 15 Short-term potentiation (STP); facilitation II
   June 16 Sensory Receptors: Crayfish Muscle Receptor Organs
   June 19 H1 motion sensing neuron in blowfly I
   June 20 H1 motion sensing neuron in blowfly II
   June 21 H1 motion sensing neuron in blowfly III
   June 22 Optogenetics and in vivo imaging of the Drosophila song pathway I
   June 23 Optogenetics and in vivo imaging of the Drosophila song pathway II
   June 26 Multi-neuron dynamics: Rotations
   June 27 Multi-neuron dynamics: Rotations
   June 28 Multi-neuron dynamics: Rotations
   June 29 Multi-neuron dynamics: Rotations
   June 30 Multi-neuron dynamics: Rotations
   July 1 Short talks to the class by each rotation group

Student rotations in Recording multi-neuron dynamics will be chosen from the following:

  1. Berry Lab: Predictive computation in the neocortex
  2. Brody Lab: Recording neural populations during decision making in rats
  3. Gelperin/Thiberge: In vivo two-photon recording of neural populations in zebra fish
  4. Leifer Lab: Optical neurophysiology and neurogenetics in freely behaving C. elegans
  5. Tank Lab: Mulit-neuron imaging in mouse cortex during decision making
  6. Wang Lab: Eyeblink conditioning & behavioral analysis in mouse models of autism
  7. Murthy Lab: Neural and behavioral recordings for studies of Drosophila acoustic communication
  8. Witten Lab: In vivo imaging of reward-related neural activity in freely behaving mice
   July 3 – 7 Independent Projects and Introduction to fMRI imaging

Students will formulate a proposal for an Independent Project in consultation with one or more members of the course faculty, culminating in a one page written proposal outlining the rationale for the proposed project, the methods for obtaining quantitative date relevant to the question posed in the proposal and the analysis methods to be applied to the data obtained during the proposed work. Course faculty will help the student to evolve a proposal that asks an interesting and important question and is practical given the time and instrumentation limitations. A substantive report detailing the results of the Independent Project is required.

A lecture and demonstration of fMRI imaging will be scheduled during this period.