Neural Computation is uniquely positioned at the crossroads between neuroscience and TMCS and welcomes the submission of original papers from all areas of TMCS, including: Advanced experimental design; Analysis of chemical sensor data; Connectomic reconstructions; Analysis of multielectrode and optical recordings; Genetic data for cell identity; Analysis of behavioral data; Multiscale models; Analysis of molecular mechanisms; Neuroinformatics; Analysis of brain imaging data; Neuromorphic engineering; Principles of neural coding, computation, circuit dynamics, and plasticity; Theories of brain function.
神经计算处于神经科学和TMCS的十字路口，欢迎TMCS各个领域的原创论文提交，包括：先进的实验设计化学传感器数据的分析结缔组织重建;多电极和光学记录的分析细胞鉴定的遗传数据;行为数据分析;多尺度模型分子机理分析;神经信息学;脑成像数据分析;神经形态工程;神经编码、计算、电路动力学和可塑性原理大脑功能理论。
A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
来源期刊：Neural ComputationDOI：10.1162/neco_a_01199
Effect of Depth and Width on Local Minima in Deep Learning
来源期刊：Neural ComputationDOI：10.1162/neco_a_01195
Supervised Determined Source Separation with Multichannel Variational Autoencoder
来源期刊：Neural ComputationDOI：10.1162/neco_a_01217
Biologically Realistic Mean-Field Models of Conductance-Based Networks of Spiking Neurons with Adaptation
来源期刊：Neural ComputationDOI：10.1162/neco_a_01173
Multiclass Alpha Integration of Scores from Multiple Classifiers
来源期刊：Neural ComputationDOI：10.1162/neco_a_01169
When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time
来源期刊：Neural ComputationDOI：10.1162/neco_a_01209
Active Inference: Demystified and Compared
来源期刊：Neural ComputationDOI：10.1162/neco_a_01357
Fixed Points of Competitive Threshold-Linear Networks
来源期刊：Neural ComputationDOI：10.1162/neco_a_01151
Deconstructing Odorant Identity via Primacy in Dual Networks
来源期刊：Neural ComputationDOI：10.1162/neco_a_01175
Information Geometry for Regularized Optimal Transport and Barycenters of Patterns
来源期刊：Neural ComputationDOI：10.1162/neco_a_01178
One Step Back, Two Steps Forward: Interference and Learning in Recurrent Neural Networks
来源期刊：Neural ComputationDOI：10.1162/neco_a_01222
Modeling the Correlated Activity of Neural Populations: A Review
来源期刊：Neural ComputationDOI：10.1162/neco_a_01154
Decoding Hidden Cognitive States From Behavior and Physiology Using a Bayesian Approach
来源期刊：Neural ComputationDOI：10.1162/neco_a_01196
A Computational Perspective of the Role of the Thalamus in Cognition
来源期刊：Neural ComputationDOI：10.1162/neco_a_01197
Integrating Flexible Normalization into Midlevel Representations of Deep Convolutional Neural Networks
来源期刊：Neural ComputationDOI：10.1162/neco_a_01226
Ten Simple Rules for Organizing and Running a Successful Intensive Two-Week Course
来源期刊：Neural ComputationDOI：10.1162/neco_a_01146
The Effect of Signaling Latencies and Node Refractory States on the Dynamics of Networks
来源期刊：Neural ComputationDOI：10.1162/neco_a_01241
Semisupervised Deep Stacking Network with Adaptive Learning Rate Strategy for Motor Imagery EEG Recognition.
来源期刊：Neural ComputationDOI：10.1162/NECO_A_01183
Decoding Movements from Cortical Ensemble Activity Using a Long Short-Term Memory Recurrent Network
来源期刊：Neural ComputationDOI：10.1162/neco_a_01189
Systems of Bounded Rational Agents with Information-Theoretic Constraints
来源期刊：Neural ComputationDOI：10.1162/neco_a_01153
Approximating the Architecture of Visual Cortex in a Convolutional Network
来源期刊：Neural ComputationDOI：10.1162/neco_a_01211
State-Space Representations of Deep Neural Networks
来源期刊：Neural ComputationDOI：10.1162/neco_a_01165
Machine Learning of Time Series Using Time-Delay Embedding and Precision Annealing
来源期刊：Neural ComputationDOI：10.1162/neco_a_01224
Improving the Antinoise Ability of DNNs via a Bio-Inspired Noise Adaptive Activation Function Rand Softplus
来源期刊：Neural ComputationDOI：10.1162/neco_a_01192
Learning Moral Graphs in Construction of High-Dimensional Bayesian Networks for Mixed Data
来源期刊：Neural ComputationDOI：10.1162/neco_a_01190
Effective Dimensionality Reduction for Visualizing Neural Dynamics by Laplacian Eigenmaps
来源期刊：Neural ComputationDOI：10.1162/neco_a_01203
Capturing the Forest but Missing the Trees: Microstates Inadequate for Characterizing Shorter-Scale EEG Dynamics
来源期刊：Neural ComputationDOI：10.1162/neco_a_01229
A Distributed Framework for the Construction of Transport Maps
来源期刊：Neural ComputationDOI：10.1162/neco_a_01172
A Reservoir Computing Model of Reward-Modulated Motor Learning and Automaticity
来源期刊：Neural ComputationDOI：10.1162/neco_a_01198
Every Local Minimum Value Is the Global Minimum Value of Induced Model in Nonconvex Machine Learning
来源期刊：Neural ComputationDOI：10.1162/neco_a_01234
Advancing System Performance with Redundancy: From Biological to Artificial Designs
来源期刊：Neural ComputationDOI：10.1162/neco_a_01166
Scalable and Flexible Unsupervised Feature Selection
来源期刊：Neural ComputationDOI：10.1162/neco_a_01163
On the Complexity of Logistic Regression Models
来源期刊：Neural ComputationDOI：10.1162/neco_a_01207
Hidden Markov Models Predict the Future Choice Better Than a PSTH-Based Method
来源期刊：Neural ComputationDOI：10.1162/neco_a_01216
Dual Neural Network Method for Solving Multiple Definite Integrals
来源期刊：Neural ComputationDOI：10.1162/neco_a_01145
Dynamic Integrative Synaptic Plasticity Explains the Spacing Effect in the Transition from Short- to Long-Term Memory
来源期刊：Neural ComputationDOI：10.1162/neco_a_01227
Decreasing the Size of the Restricted Boltzmann Machine
来源期刊：Neural ComputationDOI：10.1162/neco_a_01176
Forgetting Memories and Their Attractiveness
来源期刊：Neural ComputationDOI：10.1162/neco_a_01162
Multi-Input, Multi-Output Neuronal Mode Network Approach to Modeling the Encoding Dynamics and Functional Connectivity of Neural Systems
来源期刊：Neural ComputationDOI：10.1162/neco_a_01204
On Functions Computed on Trees
来源期刊：Neural ComputationDOI：10.1162/neco_a_01231
Controlling Complexity of Cerebral Cortex Simulations—I: CxSystem, a Flexible Cortical Simulation Framework
来源期刊：Neural ComputationDOI：10.1162/neco_a_01120
A Novel Optimization Framework to Improve the Computational Cost of Muscle Activation Prediction for a Neuromusculoskeletal System
来源期刊：Neural ComputationDOI：10.1162/neco_a_01167
Variable Selection for Nonparametric Learning with Power Series Kernels
来源期刊：Neural ComputationDOI：10.1162/neco_a_01212
A New Nonlinear Sparse Component Analysis for a Biologically Plausible Model of Neurons
来源期刊：Neural ComputationDOI：10.1162/neco_a_01214
Sensitivity to Stimulus Irregularity Is Inherent in Neural Networks
来源期刊：Neural ComputationDOI：10.1162/neco_a_01215
A Case of Near-Optimal Sensory Integration Based on Kohonen Self-Organizing Maps
来源期刊：Neural ComputationDOI：10.1162/neco_a_01200
Inhibition and Excitation Shape Activity Selection: Effect of Oscillations in a Decision-Making Circuit
来源期刊：Neural ComputationDOI：10.1162/neco_a_01185
Learning with Precise Spike Times: A New Decoding Algorithm for Liquid State Machines
来源期刊：Neural ComputationDOI：10.1162/neco_a_01218
Multiple Timescale Online Learning Rules for Information Maximization with Energetic Constraints
来源期刊：Neural ComputationDOI：10.1162/neco_a_01182
