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Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex
2008
Neural Information Processing Systems
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We apply the method to our data recorded from macaque prefrontal cortex. ...
With copulas it is possible to use arbitrary marginal distributions such as Poisson or negative binomial that are better suited for modeling noise distributions of spike counts. ...
Applying this to our data from the macaque prefrontal cortex we found that: (1) Gaussian noise is inadequate to model spike count data for short time intervals; (2) negative binomial distributed margins ...
dblp:conf/nips/OnkenGMO08
fatcat:ubz44cdaizgetncfmviiwmg6dq
A hierarchy of intrinsic timescales across primate cortex
2014
Nature Neuroscience
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By contrast, prefrontal areas can utilize longer timescales to integrate information and improve the signal-to-noise ratio in short-term memory or decision-making computations 12,15 . ...
The spike-count autocorrelation is calculated as the correlation coefficient between the number of spikes in each time bin across all trials (Online Methods). ...
By contrast, prefrontal areas can utilize longer timescales to integrate information and improve the signal-to-noise ratio in short-term memory or decision-making computations 12, 15 . ...
doi:10.1038/nn.3862
pmid:25383900
pmcid:PMC4241138
fatcat:4jb64upjgfa7rder2kxm2exihy
Analyzing Short-Term Noise Dependencies of Spike-Counts in Macaque Prefrontal Cortex Using Copulas and the Flashlight Transformation
2009
PLoS Computational Biology
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We then apply the new method to data which were recorded from macaque prefrontal cortex using a multi-tetrode array. ...
On short time scales, however, this distribution is too restrictive to describe and analyze multivariate distributions of discrete spike-counts. ...
(A) Normalized empirical distributions of spike-counts from a pair of neurons recorded in macaque prefrontal cortex (see Section ''Materials and Methods''). The bin size was 100 ms. ...
doi:10.1371/journal.pcbi.1000577
pmid:19956759
pmcid:PMC2776173
fatcat:4mmvt4y7fba6tkawnccvoamq2q
Stochastic cortical neurodynamics underlying the memory and cognitive changes in aging
2015
Neurobiology of Learning and Memory
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The relatively random spiking times of individual neurons provide a source of noise in the brain. ...
neurons, which in turn reduce the depth of the basins of attraction, resulting in a much decreased probability in maintaining in short-term memory what has been recalled from the attractor network. ...
Consistent with these findings from computational neuroscience, blockade of NMDA transmission in the macaque dorsolateral prefrontal cortex does impair short-term memory related persistent neuronal firing ...
doi:10.1016/j.nlm.2014.12.003
pmid:25536108
fatcat:pps7vabpune63jlnnqfz5qjflq
Muscarinic Attenuation of Mnemonic Rule Representation in Macaque Dorsolateral Prefrontal Cortex during a Pro- and Anti-Saccade Task
2015
Journal of Neuroscience
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Here, we examined the effects of muscarinic receptor blockade on rule-related activity in the macaque prefrontal cortex by combining iontophoretic application of the general muscarinic receptor antagonist ...
The dorsolateral prefrontal cortex (DLPFC) plays a pivotal role in executive function, including working memory and representation of abstract rules. ...
dependent on the integrity of prefrontal cortex, remains poorly understood. ...
doi:10.1523/jneurosci.2454-15.2015
pmid:26658860
pmcid:PMC6605499
fatcat:nayyvqfy2zaoxcdbs3oag5hg3i
Integration of Auditory and Visual Communication Information in the Primate Ventrolateral Prefrontal Cortex
2006
Journal of Neuroscience
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Here, we show that neurons in the macaque ventrolateral prefrontal cortex (VLPFC) integrate audiovisual communication stimuli. ...
Although the frontal lobes are involved in memory, communication, and language, there has been no evidence that the integration of communication information occurs at the single-cell level in the frontal ...
. • Audiovisual Integration in Prefrontal Cortex ...
doi:10.1523/jneurosci.3550-06.2006
pmid:17065454
pmcid:PMC2767253
fatcat:p6fxrh7qyjdwnfjxt5oa2xjow4
Neural representation of time in cortico-basal ganglia circuits
2009
Proceedings of the National Academy of Sciences of the United States of America
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We searched for time representations in cortico-basal ganglia circuits by recording from thousands of neurons in the prefrontal cortex and striatum of macaque monkeys performing a routine visuomotor task ...
We found that a subset of neurons exhibited time-stamp encoding strikingly similar to that required by models of reinforcement-based learning: They responded with spike activity peaks that were distributed ...
The presence of time-stamp coding that we found here in both the prefrontal cortex and the striatum thus supports reinforcement learning models positing cortico-basal ganglia loops with the capacity to ...
doi:10.1073/pnas.0909881106
pmid:19850874
pmcid:PMC2776432
fatcat:7i32jtpon5d7xf4ib4bsrohkse
Strong inhibitory signaling underlies stable temporal dynamics and working memory in spiking neural networks
[article]
2020
bioRxiv
pre-print
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By analyzing a spiking recurrent neural network (RNN) model trained on a WM task and activity of single neurons in the primate prefrontal cortex, we show that the temporal properties of our model and the ...
However, the underlying mechanisms for the emergence of neuronal timescales stable enough to support WM are unclear. ...
Neural mechanisms of visual working memory 355 in prefrontal cortex of the macaque. Journal of neuroscience 16, 5154-5167 (1996). 356 5. Fuster, J. M. & Alexander, G. E. ...
doi:10.1101/2020.02.11.944751
fatcat:n66lzygj7bcgjjuvtjywiv77ou
Learning probabilistic neural representations with randomly connected circuits
2020
Proceedings of the National Academy of Sciences of the United States of America
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This model's performance on simultaneously recorded spiking activity of >100 neurons in the monkey visual and prefrontal cortices is comparable with or better than that of state-of-the-art models. ...
Importantly, the model can be learned using a small number of samples and using a local learning rule that utilizes noise intrinsic to neural circuits. ...
We thank Udi Karpas, Roy Harpaz, Tal Tamir, Adam Haber, and Amir Bar for discussions and suggestions; and especially Oren Forkosh and Walter Senn for invaluable discussions of the learning rule. ...
doi:10.1073/pnas.1912804117
pmid:32948691
fatcat:qy4ok3silnbsvnhxo5hzxkhmiy
Cholinergic switch between two different types of slow waves in cerebral cortex
[article]
2018
bioRxiv
pre-print
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Network models of spiking neurons predict that the two slow wave types emerge due to a different gain on inhibitory vs excitatory cells and that different levels of spike-frequency adaptation in excitatory ...
Here, we shed light onto this paradox, based on a combination of extracellular recordings in vivo, in vitro and computational models. ...
terms of spiking activity and adaptation build-up. ...
doi:10.1101/430405
fatcat:fbz2kl2mtzditl56xiwvik6r34
Short-Term Memory Trace in Rapidly Adapting Synapses of Inferior Temporal Cortex
2008
PLoS Computational Biology
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Visual short-term memory tasks depend upon both the inferior temporal cortex (ITC) and the prefrontal cortex (PFC). Activity in some neurons persists after the first (sample) stimulus is shown. ...
Simulations of a matched filter model match the experimental results, suggesting that area TE neurons store a synaptic memory trace during short-term visual memory. ...
To quantify the response variation (noise), the phase-and stimulus-dependent mean spike count for each neuron was subtracted from the spike count on each trial in the corresponding task phase. ...
doi:10.1371/journal.pcbi.1000073
pmid:18464917
pmcid:PMC2366068
fatcat:j7n5sjdzxneermmjnsxyxn2bqq
Prediction error signaling explains neuronal mismatch responses in the medial prefrontal cortex
2020
PLoS Biology
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Then, more abstract representations in the prefrontal cortex (PFC) allow to detect contextual changes of potential behavioral relevance. ...
Remarkably, the time course of the mismatch responses we observed in the spiking activity and local field potentials of the AC and the PFC combined coincided with the time course of the large-scale MMN-like ...
Nourski for their constructive criticisms and fruitful discussions on previous versions of the manuscript. We also thank Drs Gloria G. ...
doi:10.1371/journal.pbio.3001019
pmid:33347436
pmcid:PMC7785337
fatcat:dbg336wtl5heflkbvpmsjifoxa
Mechanisms of distributed working memory in a large-scale model of the macaque neocortex
[article]
2019
bioRxiv
pre-print
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We developed an anatomically constrained large-scale computational model of the macaque cortex endowed with a macroscopic gradient of synaptic excitation, to investigate the origin of distributed working ...
Simulating cortical lesions reveals that distributed activity patters are resilient against simultaneous lesions of multiple cortical areas, but depend on areas that form the core of the entire cortex. ...
It . https://doi.org/10.1101/760231 doi: bioRxiv preprint Both the first and the second method to count attractors deliver qualitatively similar results (in terms of the dependence of the number of attractors ...
doi:10.1101/760231
fatcat:6n5pvaqx75d5fbiduvyd7kylti
Mechanisms of distributed working memory in a large-scale network of macaque neocortex
2022
eLife
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To elucidate the circuit mechanism of such distributed activity, we developed an anatomically constrained computational model of large-scale macaque cortex. ...
The model yields testable predictions, including the idea of counterstream inhibitory bias, the role of prefrontal areas in controlling distributed attractors, and the resilience of distributed activity ...
Both the first and the second method to count attractors deliver qualitatively similar results (in terms of the dependence of the number of attractors with model parameters), although as expected the second ...
doi:10.7554/elife.72136
pmid:35200137
pmcid:PMC8871396
fatcat:svsf6zdk4fa3xn4xm6in37xgpe
Interplay between persistent activity and activity-silent dynamics in prefrontal cortex during working memory
[article]
2019
bioRxiv
pre-print
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Finally, single-pulse TMS applied to human prefrontal cortex prior to trial start enhanced serial biases, demonstrating the causal role of prefrontal reactivations in determining working memory behavior ...
Importantly, the reactivation strength correlated with the strength of serial biases in both monkeys and humans, as predicted by a computational model integrating activity-based and activity-silent mechanisms ...
Behavior-dependent short-term assembly dynamics in the medial prefrontal cortex. Nat. Neurosci. 11, , P. et al. ...
doi:10.1101/763938
fatcat:4wxo55j7qne2nez4t5zu2l5hdu
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