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Brain-to-Brain Linguistic Coupling in Natural Conversations

WebFigure 1: (A) Modeling speaker-listener linguistic coupling using a shared language model. (B) Speaker (blue) and listener (red) encoding performance at ve lags relative to word …

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URL: https://2022.ccneuro.org/proceedings/0000556.pdf

Neural network modeling reveals diverse human exploration …

WebAcknowledgments This work was funded by Kavli Institute for Brain and Mind Innovative Research Grant #2022-2209 to LJA; a National In-stitutes of Health grant R01AG061888 …

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Orientation selectivity and stimulus vignetting in h uman …

WebThe pyramid simulates the responses of a large number of linear receptive fields (RFs), each of which computes a weighted sum of the stimulus image; the weights determine …

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Home CCN 2023 2023 Conference on Cognitive Computational

WebPaper: P-1A.23: Opening Computational Neuroscience to a Wider Audience: Virtual Escape Room for Kids: Track: Cognitive science: Session: P-1A: Posters 1A Poster: …

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Representations of 3D visual space in human cortex: …

Web(closer to the subject), and negative disparity values represent “back” stimuli (behind the central plane; farther from the subject). A small fixation patch was located at the central …

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Modeling the development of decision making in volatile …

WebModeling the development of decision making in volatile environments using strategies, reinforcement learning, and Bayesian inference Maria K. Eckstein 1 …

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Humans and 3D neural eld models make similar 3D shape …

WebAcknowledgments This work was supported by National Institutes of Health grant DP1HD091947 and National Science Foundation grant 2124136 to Nancy Kanwisher, …

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A Network Science Cartography of Cognitive Control System …

WebA Network Science Cartography of Cognitive Control System Dynamics Carrisa V Cocuzza ([email protected])1 Julia Hamilton ([email protected])1 Emily …

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A Computational Approach towards Automated Health …

WebConference on Cognitive Computational Neuroscience A Computational Approach towards Automated Health Research Policies: Data-Guided Screening of Impaired Mental …

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TorchLens : A Python package for extracting and visualizing …

Webinvolving symbolic tracing, it works for dynamic computational graphs (e.g., recurrent networks with varying numbers of loops), not just static graphs.

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Predicting human perceived similarity across a wide range of …

WebResults. Using sense vectors and CNN layer 7, many of the 36 dimensions were predicted highly accurately (sense vectors: max R2: 0.85, median R2: 0.38; CNN layer 7: max R2: …

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Retrospective value bias in setting temporally extended goals …

Webvalues are updated by temporal difference (TD) learning rule. Value is formulated as a function approximator of the state space. Q G (SG t = g)= w Gt ga + bG t where g is the …

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CCN 2017 Videos CCN 2017

WebThe TICS commentary paper refers to specific timecodes in the CCN 2017 online videos. For your convenience, here are direct links to those timecodes: Bengio …

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Two-dimensional Reward Evaluation and Its Relevance to …

WebAbstract: Many real -life decisions involve balancing multiple needs at the same time. To capture such complexity , We can conceptualize reward processing as navigating in an

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Modeling attention impairments in major depression

WebModeling attention impairments in major depression Arielle S. Keller, MS ([email protected]) Psychiatry and Behavioral Sciences, 401 Quarry Rd Stanford, …

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Computational Tracking of Parkinsonian Motor Fluctuations in …

WebFigure 3 : Ankle distance during 4 -met re walk (top) and tea task (bottom) for on and off medication states over 4 monthly visits. Discussion

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Disruption and Repair of Cortical Excitatory-Inhibitory Balance

WebConference on Cognitive Computational Neuroscience Disruption and Repair of Cortical Excitatory-Inhibitory Balance Submission ID 3000030 Submission Type Poster

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Conference on Cognitive Computational Neuroscience

WebAnne E. Urai, Leiden University, The Netherlands Clare Kelly, Trinity College Dublin, Ireland. Addressing the climate crisis requires radical and urgent action at all levels of society.

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Effect of Signal Alteration on Learning Shape Identity using …

WebEffect of Signal Alteration on Learning Shape Identity using Sparse Representations Michael Slugocki ([email protected])1 Allison B. Sekuler ([email protected])1;2;3 …

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