Concept
Bio-inspired computing
Related publications (37)
From event-based surprise to lifelong learning.A journey in the timescales of adaptation
Martin Louis Lucien Rémy Barry
Humans and animals constantly adapt to their environment over the course of their life. This thesis seeks to integrate various timescales of adaptation, ranging from the adaptation of synaptic connections between spiking neurons (milliseconds), rapid behav ...
EPFL2023A theory of memory consolidation and synaptic pruning in cortical circuits
Over the course of a lifetime, the human brain acquires an astonishing amount of semantic knowledge and autobiographical memories, often with an imprinting strong enough to allow detailed information to be recalled many years after the initial learning exp ...
EPFL2023Puppeteer and Marionette: Learning Anticipatory Quadrupedal Locomotion Based on Interactions of a Central Pattern Generator and Supraspinal Drive
Auke Ijspeert, Guillaume Denis Antoine Bellegarda, Milad Shafiee Ashtiani
Quadruped animal locomotion emerges from the interactions between the spinal central pattern generator (CPG), sensory feedback, and supraspinal drive signals from the brain. Computational models of CPGs have been widely used for investigating the spinal co ...
New York2023Neuromorphic computing based on halide perovskites
Mohammad Khaja Nazeeruddin, Feng Gao
Neuromorphic computing requires electronic systems that can perform massively parallel computational tasks with low energy consumption. Such systems have traditionally been based on complementary metal-oxide-semiconductor circuits, but further advances in ...
Berlin2023Layer-Wise Learning Framework for Efficient DNN Deployment in Biomedical Wearable Systems
David Atienza Alonso, Amir Aminifar, Tomas Teijeiro Campo, Alireza Amirshahi, Saleh Baghersalimi
The development of low-power wearable systems requires specialized techniques to accommodate their unique requirements and constraints. While significant advancements have been made in the inference phase of artificial intelligence, the training phase rema ...
2023Controllability and Interpretability in Affective Speech Synthesis
Thanks to Deep Learning Text-To-Speech (TTS) has achieved high audio quality with large databases. But at the same time the complex models lost any ability to control or interpret the generation process. For the big challenge of affective TTS it is infeasi ...
EPFL2022Micromechanically inspired investigation of cemented granular materials: part I-from X-ray micro tomography to measurable model variables
Cemented granular materials are abundant in nature and are often artificially produced. Their macroscopic behaviour is driven by small-scale material processes, which are generally classified as: grain breakage, cement damage and fragment rearrangement. Th ...
SPRINGER HEIDELBERG2022Approximating Relu Networks By Single-Spike Computation
Wulfram Gerstner, Stanislaw Andrzej Wozniak, Ana Stanojevic, Evangelos Eleftheriou, Giovanni Cherubini, Angeliki Pantazi
Developing energy-saving neural network models is a topic of rapidly increasing interest in the artificial intelligence community. Spiking neural networks (SNNs) are biologically inspired models that strive to leverage the energy efficiency stemming from a ...
IEEE2022