Reduction of Information Redundancy in the Ascending Auditory Pathway

Slides:



Advertisements
Similar presentations
Timing and Specificity of Feed-Forward Inhibition within the LGN
Advertisements

Volume 54, Issue 6, Pages (June 2007)
A Sensorimotor Role for Traveling Waves in Primate Visual Cortex
Mark Sayles, Ian M. Winter  Neuron 
Volume 20, Issue 5, Pages (May 1998)
Guangying K. Wu, Pingyang Li, Huizhong W. Tao, Li I. Zhang  Neuron 
Volume 79, Issue 3, Pages (August 2013)
David M. Schneider, Sarah M.N. Woolley  Neuron 
Araceli Ramirez-Cardenas, Maria Moskaleva, Andreas Nieder 
Volume 58, Issue 3, Pages (May 2008)
Contrast Gain Control in Auditory Cortex
Brian S. Nelson, Terry T. Takahashi  Neuron 
Volume 82, Issue 1, Pages (April 2014)
Volume 83, Issue 3, Pages (August 2014)
The Generation of Direction Selectivity in the Auditory System
Cooperative Nonlinearities in Auditory Cortical Neurons
Volume 66, Issue 6, Pages (June 2010)
Volume 20, Issue 5, Pages (May 1998)
Volume 53, Issue 3, Pages (February 2007)
Encoding of Illusory Continuity in Primary Auditory Cortex
Attention-Induced Variance and Noise Correlation Reduction in Macaque V1 Is Mediated by NMDA Receptors  Jose L. Herrero, Marc A. Gieselmann, Mehdi Sanayei,
Preceding Inhibition Silences Layer 6 Neurons in Auditory Cortex
Volume 74, Issue 5, Pages (June 2012)
Complementary Roles for Primate Frontal and Parietal Cortex in Guarding Working Memory from Distractor Stimuli  Simon Nikolas Jacob, Andreas Nieder  Neuron 
Ben Scholl, Xiang Gao, Michael Wehr  Neuron 
Volume 55, Issue 3, Pages (August 2007)
Sensitivity to Complex Statistical Regularities in Rat Auditory Cortex
Differential Impact of Behavioral Relevance on Quantity Coding in Primate Frontal and Parietal Neurons  Pooja Viswanathan, Andreas Nieder  Current Biology 
Hongbo Yu, Brandon J. Farley, Dezhe Z. Jin, Mriganka Sur  Neuron 
Feature- and Order-Based Timing Representations in the Frontal Cortex
CA3 Retrieves Coherent Representations from Degraded Input: Direct Evidence for CA3 Pattern Completion and Dentate Gyrus Pattern Separation  Joshua P.
Lior Cohen, Gideon Rothschild, Adi Mizrahi  Neuron 
Volume 49, Issue 3, Pages (February 2006)
Cortical Mechanisms of Smooth Eye Movements Revealed by Dynamic Covariations of Neural and Behavioral Responses  David Schoppik, Katherine I. Nagel, Stephen.
Gamma and the Coordination of Spiking Activity in Early Visual Cortex
Volume 71, Issue 4, Pages (August 2011)
Volume 60, Issue 5, Pages (December 2008)
Adaptation Disrupts Motion Integration in the Primate Dorsal Stream
Hippocampal “Time Cells”: Time versus Path Integration
Volume 54, Issue 6, Pages (June 2007)
Visually Cued Action Timing in the Primary Visual Cortex
Volume 88, Issue 3, Pages (November 2015)
David M. Schneider, Sarah M.N. Woolley  Neuron 
Volume 19, Issue 3, Pages (April 2017)
Functional Microcircuit Recruited during Retrieval of Object Association Memory in Monkey Perirhinal Cortex  Toshiyuki Hirabayashi, Daigo Takeuchi, Keita.
Katherine M. Armstrong, Jamie K. Fitzgerald, Tirin Moore  Neuron 
Origin and Function of Tuning Diversity in Macaque Visual Cortex
Volume 71, Issue 4, Pages (August 2011)
Uma R. Karmarkar, Dean V. Buonomano  Neuron 
James M. Jeanne, Tatyana O. Sharpee, Timothy Q. Gentner  Neuron 
Why Seeing Is Believing: Merging Auditory and Visual Worlds
Local and Global Contrast Adaptation in Retinal Ganglion Cells
Timing, Timing, Timing: Fast Decoding of Object Information from Intracranial Field Potentials in Human Visual Cortex  Hesheng Liu, Yigal Agam, Joseph.
Daniel E. Winkowski, Eric I. Knudsen  Neuron 
Volume 72, Issue 6, Pages (December 2011)
Peter H. Rudebeck, Andrew R. Mitz, Ravi V. Chacko, Elisabeth A. Murray 
Sara E. Morrison, Alexandre Saez, Brian Lau, C. Daniel Salzman  Neuron 
Volume 91, Issue 3, Pages (August 2016)
Prefrontal Neurons Coding Suppression of Specific Saccades
Raghav Rajan, Allison J. Doupe  Current Biology 
Tuning to Natural Stimulus Dynamics in Primary Auditory Cortex
Volume 58, Issue 1, Pages (April 2008)
Cell Assemblies of the Superficial Cortex
Volume 17, Issue 15, Pages (August 2007)
Kristy A. Sundberg, Jude F. Mitchell, John H. Reynolds  Neuron 
Cross-Modal Associative Mnemonic Signals in Crow Endbrain Neurons
Population Responses to Contour Integration: Early Encoding of Discrete Elements and Late Perceptual Grouping  Ariel Gilad, Elhanan Meirovithz, Hamutal.
Volume 99, Issue 1, Pages e4 (July 2018)
Supratim Ray, John H.R. Maunsell  Neuron 
Christophe Micheyl, Biao Tian, Robert P. Carlyon, Josef P. Rauschecker 
Presentation transcript:

Reduction of Information Redundancy in the Ascending Auditory Pathway Gal Chechik, Michael J. Anderson, Omer Bar-Yosef, Eric D. Young, Naftali Tishby, Israel Nelken  Neuron  Volume 51, Issue 3, Pages 359-368 (August 2006) DOI: 10.1016/j.neuron.2006.06.030 Copyright © 2006 Elsevier Inc. Terms and Conditions

Figure 1 Spectrograms of the Stimuli Used in this Study Five variants (rows) were created out of three different bird chirps (columns). The variants were Natural: the full sound; Main: main chirp component after removing echoes and background noise; Noise: sound after removing the main chirp; Echo: the echo parts of the noise; Back: the background remaining after removing the echo from Noise. Neuron 2006 51, 359-368DOI: (10.1016/j.neuron.2006.06.030) Copyright © 2006 Elsevier Inc. Terms and Conditions

Figure 2 Samples of Stimuli and Neural Responses (A) Three typical stimuli: A bird chirp in its full natural form (left), the main chirp component after removing the echoes and the background noise (center), and the echoes and background (right) ([B]–[G]). Responses in different brain regions are displayed as dot rasters. In the right column, frequency response areas with the stimulus spectra superimposed (white lines) are displayed. The frequency response areas show discharge rate (from blue [low] to red [high]) in response to tones of various frequencies (kHz, abscissa) and sound levels (dB SPL, ordinate). (B and C) Two IC cells (best frequencies are 8.8 and 10.6 kHz). Stimulus spectra were shifted into the neuronal response areas in (B) and (C) by increasing the sampling rate by 2.4 and 5.3, respectively. (D and E) Two MGB cells (both best frequencies are 5.9 kHz). ([F]–[H]) Three A1 cells (best frequencies are 3.6 and 5.9 kHz). In (D)–(H), the original sampling rates were used. Neuron 2006 51, 359-368DOI: (10.1016/j.neuron.2006.06.030) Copyright © 2006 Elsevier Inc. Terms and Conditions

Figure 3 Information in the Coding of Stimulus Identity ([A]–[D]) Illustration of matrix-based estimation of MI between stimuli identity and spike counts for a single MGB cell. (A) Five illustrative stimuli. (B) Raster plots of the responses to 20 repeats of each of the stimuli in (A). (C) Histogram of the spike count distribution across trials presented in (B). (D) Color-coded histograms of spike counts for all the 15 stimuli (rows). The naive MI estimator is the MI over this empirical joint distribution matrix. (E) Color-coded histogram of spike patterns' occurrence for all 15 stimuli. For the purpose of this illustration, spikes in a window of 64 ms were considered, and their response times were discretized into 8 ms bins, yielding 8 bins, each containing no spikes (0) or at least one spike (1). ([F]–[H]) Mutual information and firing rates. Each point shows the average firing rate of a neuron to the stimulus ensemble (ordinate) plotted against the MI between spike counts and stimulus identity (abscissa). Large symbols denote the mean over a brain region. (F) MI using counts. (G) MI using latencies. (H) MI using spike patterns. Neuron 2006 51, 359-368DOI: (10.1016/j.neuron.2006.06.030) Copyright © 2006 Elsevier Inc. Terms and Conditions

Figure 4 Joint Distributions of Spike Counts (A and B) Spike counts across the stimulus ensemble for a pair of IC cells (best frequencies 5.5 and 6.1 kHz) and a pair of A1 cells (both best frequencies are 5.1 kHz). Error bars = SEMs of the spike counts, for 20 repeats of the ensemble for A1 neurons and ten repeats for IC neurons. The sampling rate of the stimuli for the IC neurons was increased to place the center frequency of the chirp at BF. (C and D) Joint distribution of spike counts across all repeats of all stimuli, of the same two pairs of IC and A1 neurons. Neuron 2006 51, 359-368DOI: (10.1016/j.neuron.2006.06.030) Copyright © 2006 Elsevier Inc. Terms and Conditions

Figure 5 Informational Redundancy in the Coding of Stimulus Identity (A) Distribution of normalized pairs' redundancy I(X1; X2)/I(X1; X2; S) based on spike counts for cells in IC, MGB, and A1. Arrows denote group means. (B) Distribution of normalized triplets' redundancy I(X1; X2; X3)/I(X1; X2; X3; S) based on spike counts. (C) Normalized pair redundancy for spike patterns coded as binary words. (D) Distribution of redundancies as in (A) for a stimulus set restricted to stimuli having energy in a narrow frequency range (rows 2–3, Figure 1). (E) Average spike count redundancies between pairs in three different proximity classes as explained in the text, in the three auditory stations. Error bars denote the SEM of each group, the number above each bar denotes the number of pairs in each group, and p is the p value for a one-way ANOVA test for the difference between the groups' means. Neuron 2006 51, 359-368DOI: (10.1016/j.neuron.2006.06.030) Copyright © 2006 Elsevier Inc. Terms and Conditions

Figure 6 Redundancy and Frequency Selectivity (A) Normalized redundancy plotted as a function of cells' best frequencies. Simulated responses of auditory nerve fibers (ANFs) following the hair-cell model by Meddis (1986) as implemented by Slaney (Auditory toolbox ver2, 1998). The number of model ANFs and their best frequencies were matched to the A1 cells (B). Diagonal values (white) are omitted, since these values measure the redundancy of a cell with itself. (B) Same plot as in (A), but for A1 neurons. (C) Normalized redundancy between pairs of ANF model neurons as a function of BF difference. (D) Same as in (C), for recorded IC neurons. (E) Same as in (C), for recorded MGB neurons. (F) Same as in (C), for recorded A1 neurons. Neuron 2006 51, 359-368DOI: (10.1016/j.neuron.2006.06.030) Copyright © 2006 Elsevier Inc. Terms and Conditions