Results 121 to 130 of about 177,791 (315)
Power scalable implementation of artificial neural networks
, 2005 As the use of Artificial Neural Network (ANN) in mobile embedded devices gets more pervasive, power consumption of ANN hardware is becoming a major limiting factor. Although considerable research efforts are now directed towards low-power implementations
Modi, Sankalp +5 more
core +1 more source
Design Optimisation of Front-End Neural Interfaces for Spike Sorting Systems [PDF]
, 2013 09.04.13 KB. Accepted version ok to add to spiral. IEEE policyThis work investigates the impact of the analogue front-end design (pre-amplifier, filter and converter) on spike sorting performance in neural interfaces.
Eftekhar, A +5 more
core +1 more source
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
Advanced Functional Materials, EarlyView.A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
The Goldilocks zone in neural circuits
eLife, 2016 How do networks of neurons remain both stable and sensitive to new inputs?
openaire +4 more sources
Advanced Functional Materials, EarlyView.This paper presents a digital microfluidics‐based technique for transferring and reconfiguring soft nanomembranes. Laser‐machined nanothin membranes are picked up, transported, and aligned via tailored surface tension and the actuation of water droplets, enabling the development of flexible electronics, the integration of functional materials on 3D ...
Quang Anh Nguyen +15 more
wiley +1 more source
Quantitative differences in developmental profiles of spontaneous activity in cortical and hippocampal cultures [PDF]
, 2015 PC and AM were supported by the Wellcome Trust Genes to Cognition programme. PC received additional support from the Biotechnology and Biological Sciences Research Council (BB/H008608/1). EC was supported by a Wellcome Trust PhD studentship and Cambridge
Morton, Andrew +10 more
core +1 more source
“Knocking out” a Neural Circuit [PDF]
Neuron, 1998 Although the visual system occupies nearly half of the mammalian brain, we still do not completely understand its first synaptic stage. One reason is that the dendrites postsynaptic to photoreceptors comprise such a maze of fine processes that doubt remains whether all the second order circuits have been identified—even after 4 decades of electron ...
openaire +2 more sources
Advanced Functional Materials, EarlyView.Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone +8 more
wiley +1 more source
Power Aware Learning for Class AB Analogue VLSI Neural Network
, 2006 Recent research into Artificial Neural Networks (ANN) has highlighted the potential of using compact analogue ANN hardware cores in embedded mobile devices, where power consumption of ANN hardware is a very significant implementation issue.
Modi, Sankalp +2 more
core
Advanced Functional Materials, EarlyView.A fully programmable, dual‐inductive switchable halide perovskite memristor is demonstrated through precise BDAI2‐mediated interface engineering. This ion‐modulating layer suppresses stochastic filamentary growth, enabling stable, non‐filamentary switching via dynamic barrier modulation.
So‐Yeon Kim, Juan Bisquert
wiley +1 more source