Analytics Insight

Deep Learning Cheat Sheet for Beginners & Professionals

Overview:  Deep learning uses multi-layer neural networks to learn patterns from data.CNNs, RNNs, LSTMs, transformers, and ...
BIOENGINEER

Artificial Neural Networks Evolve Brain-Like Modules When Learning Multiple Tasks

One of the deepest puzzles in neuroscience is why the brain is built the way it is. The human connectome is not a tangle of ...
BIOENGINEER

One Spiking Neural Network Learns What Happens, When, and How Likely

Researchers at the University of Tokyo show that a single recurrent spiking neural network can learn event identity, timing, ...
Booth School of Business

Paper Recurrent Neural Networks for Nonlinear Time Series

This study bridges classical time-series econometrics with modern machine learning by establishing theoretical performance guarantees for recurrent neural networks (RNNs) applied to complex ...
Medical Xpress

A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamics

A key objective of several neuroscience studies is to understand and model how the dynamics of distinct populations of neurons give rise to specific human and animal behaviors. Many existing methods ...