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We pose the Neural Systems Identification and Prediction Challenge (nuSPIC). We provide the connectivity and activity of all neurons and invite participants.
Dec 25, 2013 · Can we infer the function of a biological neural network (BNN) if we know the connectivity and activity of all its constituent neurons?
Dec 25, 2013 · Can we infer the function of a biological neural network (BNN) if we know the connectivity and activity of all its constituent neurons?
Scientists from Freiburg present an online tool to create and analyse neuronal networks.
Can we infer the function of a biological neural network (BNN) if we know the connectivity and activity of all its constituent neurons?
Abstract: The intention of this paper is to make a systematic examination of the possibilities of applying neural networks in those technical areas, ...
Feb 19, 2024 · Simple learned weighted sums of inferior temporal neuronal firing rates accurately predict human core object recognition performance.
Mar 15, 2021 · In this review, we highlight recent advances in nonlinear system identification of neural systems, corresponding time and frequency domain analysis, and novel ...
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Traditional methods for neural system identification do not capitalize on this separation of “what” and “where”. Learning deep convolutional feature spaces that ...
Jul 2, 2022 · The learned representations of these models are then used to predict neural/cognitive recordings of a biological system on a stimulus dataset.