Artificial neural networks for neuroscientists: A primer

1 June 2020

Papers citing "Artificial neural networks for neuroscientists: A primer"

8 / 8 papers shown

Title
Items or Relations -- what do Artificial Neural Networks learn? Renate Krause Stefan Reimann NAI 21 0 0 15 Apr 2024
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes Gehua (Marcus) Ma Runhao Jiang Rui Yan Huajin Tang AI4TS 47 6 0 21 Jun 2023
Benchmarking the human brain against computational architectures Céline van Valkenhoef Catherine D. Schuman P. Walther 15 0 0 15 May 2023
Scalar Invariant Networks with Zero Bias Chuqin Geng Xiaojie Xu Haolin Ye X. Si 26 1 0 15 Nov 2022
Lightweight 3D Convolutional Neural Network for Schizophrenia diagnosis using MRI Images and Ensemble Bagging Classifier P. Patro Tripti Goel S. A. VaraPrasad Md. Iftekhar Tanveer R. Murugan 30 4 0 05 Nov 2022
A Step Towards Uncovering The Structure of Multistable Neural Networks Magnus Tournoy B. Doiron 13 1 0 06 Oct 2022
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass 121 481 0 26 Mar 2018
Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parameters D. Kobak Wieland Brendel C. Constantinidis C. Feierstein Adam Kepecs Z. Mainen R. Romo Xue-Lian Qi N. Uchida C. Machens 48 464 0 22 Oct 2014