Neural Prosthesis Reading Group

Time

Tuesday 2:00 PM      Note new time

Place

Thomas 301

Group members

• Eddie Branchaud
• Joel W. Burdick
• Shiyan Cao
• Jorge Cham
• Zoran Nenadic

Reading & Discussion Assignment

1. March 11: Accuracy of Tetrode Spike Separation as Determined by Simultaneous Intracellular and Extracellular Measurements, K. D. Harris et. al.
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2. February 24: Optimal detection, classification, and superposition resolution in neural waveform recordings, I. N. Bankman et. al.
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3. January 21: Reproducibility and Variability in Neural Spike Trains, R. R. de Ruyter van Steveninck et. al.
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4. November 5: Review of Minimum Classification Error Training in Dimensionality Reduction, Ramasubramanian Sundaram
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5. October 1: Information-Theoretic Analysis of Neural Coding, Don H Johnson et. al.
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6. September 10: Nonrenewal Statistics of Electrosensory Afferent Spike Trains: Implications for the Detection of Weak Sensory Signals, Rama Ratnam and Mark E. Nelson
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7. July 30: A Simple Model of Long-term Spike Train Regularization, Relly Brandman and Mark E. Nelson
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8. May 7: Neural coding and decoding: communication channels and quantization, Alexander G. Dimitrov and John P. Miller
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9. April 23: Entropy and Information in Neural Spike Trains Population Coding, S. P. Strong et. al.
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10. February 11: Mutual Information, Fisher Information and Population Coding, N. Brunel and J.P. Nadal
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11. February 4:
    
    
    1. Narrow vs. wide tuning curves: what's best for a population code? Alexandre Pouget et. al.
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    2. Neural Tuning: To Sharpen or Broaden? Kechen Zhang and Terrence J. Sejnowski
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12. January 28: How Sensory Maps Could Enhance Resolution Through Ordered Arrangements of Broadly Tuned Receivers, P. Baldi and W. Heiligenberg ( Biological Cybernetics 59, 313-318 [1988] )
    
    
13. December 4: Volterra series expansion and Wiener kernels, References:
    
    
    1. Spikes: Exploring the Neural Code, F. Rieke et. al. [1997]
    2. Nonlinear problems in random theory, N. Wiener [1958]
    3. Theory Of Functionals And Of Integral And Integro-Differential Equations, V. Volterra [1930]
    
    
14. November 27: Decoding Neuronal Firing and Modeling Neural Networks, Larry F. Abbott
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15. November 20: A Statistical Paradigm for Neural Spike Train Decoding Applied to Position Prediction from Ensemble Firing Patterns of Rat Hippocampal Place Cells, Emery N. Brown et. al.
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