Skip to content Zenke Lab Computational Neuroscience at the FMI Selected talks from the lab Research Funding Spiking Heidelberg Digits and Spiking Speech Commands Auryn Spiking Network Simulator LaTeX rebuttal/response to reviewers template Great free text books Tag: neural networks November 1, 2023November 1, 2023 fzenke publications Paper: Disinhibitory neuronal circuits are ideally poised to control the sign of synaptic plasticity In Julian’s new paper “Dis-inhibitory neuronal circuits can control

Radial Basis Function Neural Networks (RBFNNs) use radial basis functions for activation, excelling in pattern recognition, & interpolation

# Speech Recognition with Neural Networks ## Neural Network Architecture We will begin by discussing the architecture of the neural network used by Graves et. al. However, the architecture of the neural network is only the first of the major aspects of the paper; later, we discuss exactly how we use this architecture for speech recognition. ## Standard Recurrent Neural Networks Recall that a recurrent neural network is one in which each layer represents another step in time (or another step in some sequ

/dev/posts/ Home Tags Archives Vulnerabilities Code Configuration llama.cpp quickstart (part 2) Published: Jul 16 2026 computer machine-learning deep-learning language-model neural-networks LLM llama.cpp How to quickly use llama.cpp for LLM inference (part 2). This is a follow-up of a previous post on the same topic . Read more… Reinforcement Learning formulas cheat sheet Published: Sep 22 2025 computer machine-learning reinforcement-learning neural-networks Cheat sheet for (some) reinforcement learning

How Chain-of-Thought Reasoning Helps Neural Networks Compute ### How Chain-of-Thought Reasoning Helps Neural Networks Compute March 21, 2024 Large language models do better at solving problems when they show their work. Researchers are beginning to understand why. How Selective Forgetting Can Help AI Learn Better ### How Selective Forgetting Can Help AI Learn Better February 28, 2024 Erasing key information during training results in machine learning models that can learn new languages faster and mor

The best Neural networks and fuzzy systems Books! Buy your next read here

The best Neural networks and fuzzy systems Books! Buy your next read here

The best Neural networks and fuzzy systems Books! Buy your next read here

Capsule neural networks or CapsNet is an artificial neural network which consists of capsules(bunch of neurons) which allow us to confirm if entities(components) are present in the image. We will cover Capsule Networks in depth

We develop an intuition behind "adversarial attacks" on deep neural networks, and understand why these attacks are so successful