research
∙
07/29/2022
Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models
Image restoration under adverse weather conditions has been of significa...
share
research
∙
05/23/2022
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity
Memory is a key component of biological neural systems that enables the ...
research
∙
04/08/2021
Many-Joint Robot Arm Control with Recurrent Spiking Neural Networks
In the paper, we show how scalable, low-cost trunk-like robotic arms can...
research
∙
06/19/2020
Oscillatory background activity implements a backbone for sampling-based computations in spiking neural networks
Various data suggest that the brain carries out probabilistic inference....
research
∙
03/03/2020
Embodied Synaptic Plasticity with Online Reinforcement learning
The endeavor to understand the brain involves multiple collaborating res...
research
∙
03/20/2019
Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype
Advances in neuroscience uncover the mechanisms employed by the brain to...
research
∙
01/25/2019
Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets
The way how recurrently connected networks of spiking neurons in the bra...
research
∙
03/26/2018
Long short-term memory and Learning-to-learn in networks of spiking neurons
Networks of spiking neurons (SNNs) are frequently studied as models for ...
research
∙
11/14/2017
Deep Rewiring: Training very sparse deep networks
Neuromorphic hardware tends to pose limits on the connectivity of deep n...
research
∙
04/13/2017
Reward-based stochastic self-configuration of neural circuits
Synaptic connections between neurons in the brain are dynamic because of...
research
∙
03/17/2017
Pattern representation and recognition with accelerated analog neuromorphic systems
Despite being originally inspired by the central nervous system, artific...
research
∙
03/06/2017
Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System
Emulating spiking neural networks on analog neuromorphic hardware offers...
research
∙
06/01/2016
CaMKII activation supports reward-based neural network optimization through Hamiltonian sampling
Synaptic plasticity is implemented and controlled through over thousand ...
research
∙
04/20/2015
