Lecture Schedule

Didactic Lectures


Introduction to Modern Neuroscience

   June 11 Tank Methods for measuring neuronal signals
   June 12 Berry Electrochemistry, V-clamp, gNa, gK, Hodgkin-Huxley model
   June 13 Berry Integrate and fire model, slow conductances, bursting, bistability
   June 14 Wang
Wang
Synaptic transmission, the first 10,000 milliseconds
Plasticity and learning rules
   June 15 Niv
Daw
Reinforcement learning I
Reinforcement learning II

Molecular Methods for Identifying and Targeting Defined Neural Populations

   June 18 Boulanger
Wang
Molecular neuroscience
Noon talk on Research Reproducibility (lunch provided)
   June 19 Murthy Genetic tools for systems neuroscience
   June 20 Leifer
Gross
Optogenetics in C. elegans
Noon talk on Ethical Conduct of Research (lunch provided)
   June 21 Tank Sequence generation & place cells: experiments and models
   June 22 Witten
Shaevitz
Optical dissection of reward circuits
Quantitative methods for animal behavior

Structural Neurobiology & Connectomics

   June 25 Seung Computational Connectomics
   June 26 Enquist Viral vectors for circuit exploration
   June 27 Gould
Ghazanfar
Hippocampus and plasticity through the lifespan
Developmental neuromechanics of vocal communication

Large Scale Recording Technology

   June 28 Brody Models of persistent neural activity and attractor networks
   June 29 Berry Electrode array recordings to study retinal dynamics

Models of Information Processing

   July 2 Bialek Statistical mechanics for networks of real neurons
   July 3 Pillow Scalable models for high-dimensional neural data

Human Neuroscience Methods

   July 4 Norman
Pinsk
Cognitive neuroscience of learning and memory
Neuroimaging methods as support tools for network level recordings in monkeys
   July 5 Cohen Neural mechanisms for decision making and cognitive control
MiniSymposium: Neurology and Dynamics
   July 6 Brown (MIT)
Lewis (UPitt)
Dynamics of the Unconscious Brain Under General Anesthesia
Impaired Cortical Oscillations and Cognitive Dysfunction in Schizophrenia

Laboratory Exercises

   June 11 Intracellular recording, synaptic physiology I
   June 12 Intracellular recording, synaptic physiology II
   June 13 Short-term potentiation (STP); facilitation I
   June 14 Short-term potentiation (STP); facilitation II
   June 15 Sensory Receptors: Crayfish Muscle Receptor Organs
   June 18 H1 motion sensing neuron in blowfly I
   June 19 H1 motion sensing neuron in blowfly II
   June 20 H1 motion sensing neuron in blowfly III
   June 21 Optogenetics and in vivo imaging of the Drosophila song pathway I
   June 22 Optogenetics and in vivo imaging of the Drosophila song pathway II
   June 25 Multi-neuron dynamics: Rotations
   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 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: Electrode array recording from retinal neurons during visual stimulation
  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. Tank Lab: Multi-neuron imaging in mouse cortex during decision making
  5. Wang Lab: Eyeblink conditioning & behavioral analysis in mouse models of autism
  6. Murthy Lab: Neural and behavioral recordings for studies of Drosophila acoustic communication
  7. Witten Lab: In vivo imaging of reward-related neural activity in freely behaving mice
  8. Leifer Lab: Optogenetics in C. elegans
   July 2 – 6 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.