Jude Mitchell

E-mail: jude@salk.edu

All data on this page came from the following attention task:

Multiple-Object Tracking in a Macaque: The monkeys fixated the white dot at the center of the computer monitor, and four striped stimuli appeared. Their eye position was monitored using an IR camera. The red cross shows where the eyes were pointing throughout each trial. The circle shows the location of the receptive field of the neuron under study during the recording. At the beginning of each trial, either one or two of the stimuli were highlighted, indicating to the monkey that they were the targets of attention. The stimuli then moved to new locations and paused, with one stimulus in the receptive field. After a brief pause, they moved to new locations and the fixation point disappeared. The monkey was rewarded with juice if it then looked at the cued targets.
Attention Dask Demo (Avi File)

Publication from this Dataset:

Differential attention-dependent response modulation across cell classes in macaque visual area V4. JF Mitchell, KA Sundberg, JH Reynolds. Neuron, 2007, 55. 131-141.
Supplemental Material, Neuron, 2007, 55. 131-141.

Recent Posters from this Dataset:

Dissecting sources of neuronal noise that are reduced by attention in macaque area V4. KA Sundberg, JF Mitchell, and JH Reynolds SFN 2008 [pdf]
Attention-dependent reductions in response variability in area V4 associated with changes in spike power spectra and burstiness. JF Mitchell, KA Sundberg, and JH Reynolds COSYNE. 2008 [pdf]
Attentive tracking of multiple objects modulates neuronal responses in area V4 of macaque. JF Mitchell, KA Sundberg, and JH Reynolds Vision Sci. Soc. 2006 [pdf]
Attentive tracking of multiple objects by humans and monkeys. JF Mitchell, KA Sundberg, and JH Reynolds Vision Sci. Soc. 2005 [pdf]
Comparison of Human and Macaque Ability to Attentive Track Multiple Visual Stimuli. JF Mitchell, KA Sundberg, and JH Reynolds Soc. Neurosci. 2004 [pdf]

Download Sample Data and Code (with directory structure)

Routines for Fano Factor, Autocorrelation, and Power Spectra (poster above):

Plots Spike Waveform and Tests if Significant Visual Response: basic_neuron_info.m

Firing Rate and Fano Factor Analysis (Mitchell et. al, 2007): rate_fano_factor_psth.m

Subroutine: (computes firing rate and Fano factor over trial) compute_rate_fano.m
Subroutine: (performs gaussian smoothing) compute_gauss_smooth.m
Subroutine: (plots smoothed mean rate) plot_mean_psth.m
Subroutine: (plots spike raster) plot_spike_raster.m

Normalized Autocorrelation and Power Spectra Function: rate_normalized_autocor_power.m

Subroutine: (computes autocorrelation and normalizes) compute_autocor_renewal.m
Subroutine: (uses K-basis set, log-time spaced, to smooth autocorrelation) compute_logtime_smooth.m
Subroutine: (computes power spectra off rate normalized autocorrelation) compute_power_from_auto.m
Subroutine: (computes Fano Factor at counting interval given autocorrelation) compute_FF_from_auto.m
Subroutine: (performs gaussian smoothing) compute_gauss_smooth.m
Subroutine: (plots smoothed mean rate) plot_mean_psth.m
Subroutine: (plots spike raster) plot_spike_raster.m

Routines for Spike-LFP Coherence:

Spike-LFP Coherence with Rate Normalization (attempting Womelsdorf & Fries, Cosyne, 2008): rate_normalized_coherence.m

Subroutine: (computes coherence ala Fries 2001 methods) compute_fries_coherence_match.m
Subroutine: (plots LFP raster) plot_lfp_raster.m
Subroutine: (performs gaussian smoothing) compute_gauss_smooth.m
Subroutine: (plots smoothed mean rate) plot_mean_psth.m
Subroutine: (plots spike raster) plot_spike_raster.m

Example Neuron Data Files (zipped matlab files, matlab 7.1 or higher):

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Data Format
___________________14 Neurons in Public Database ___________________________
mbag15_u1 (wave duration = 150us, peak autocor = 1.21) putative interneuron
mnar4_u2 (wave duration = 225us, peak autocor = 1.62) putative interneuron
msiv3_u8 (wave duration = 200us, peak autocor = 1.42) putative interneuron
msir27_u3 (wave duration = 200us, peak autocor = 1.35) putative interneuron
mzir4_u1 (wave duration = 180us, peak autocor = 1.25) putative interneuron
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mbbag38_u1 (wave duration = 325us, peak autocor = 1.37) putative pyramidal, non-bursty
mbsurr3_u4 (wave duration = 325us, peak autocor = 2.41) putative pyramidal, non-bursty
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mbbag42_u2 (wave duration = 400us, peak autocor = 10.31) putative pyramidal, bursty
mbbag44_u3 (wave duration = 300us, peak autocor = 17.08) putative pyramidal, bursty
mzir50_u1 (wave duration = 300us, peak autocor = 6.41) putative pyramidal, bursty
mzir22_u2 (wave duration = 360us, peak autocor = 5.45) putative pyramidal, bursty
mzir20_u3 (wave duration = 350us, peak autocor = 13.0) putative pyramidal, bursty
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mzir19_u2 (wave duration = 150us, peak autocor = 6.62) putative chattering?
mzir13_u1 (wave duration = 175us, peak autocor = 5.85) putative chattering?

MORE COMPLETE Example Data Files (raw matlab files, matlab 7.1 or higher):

___________________________________________________________________
Total Data Format
___________________14 Total Format Neurons in Public Database ___________________________