A survey on neuromorphic computing: Models and hardware
The explosion of “big data” applications imposes severe challenges of speed and scalability
on traditional computer systems. As the performance of traditional Von Neumann machines …
on traditional computer systems. As the performance of traditional Von Neumann machines …
[HTML][HTML] From Brain Models to Robotic Embodied Cognition: How Does Biological Plausibility Inform Neuromorphic Systems?
We examine the challenging “marriage” between computational efficiency and biological
plausibility—A crucial node in the domain of spiking neural networks at the intersection of …
plausibility—A crucial node in the domain of spiking neural networks at the intersection of …
[HTML][HTML] Cortical feedback decorrelates olfactory bulb output in awake mice
GH Otazu, H Chae, MB Davis, DF Albeanu - Neuron, 2015 - cell.com
The olfactory bulb receives rich glutamatergic projections from the piriform cortex. However,
the dynamics and importance of these feedback signals remain unknown. Here, we use …
the dynamics and importance of these feedback signals remain unknown. Here, we use …
[HTML][HTML] An investigation into spike-based neuromorphic approaches for artificial olfactory systems
The implementation of neuromorphic methods has delivered promising results for vision and
auditory sensors. These methods focus on mimicking the neuro-biological architecture to …
auditory sensors. These methods focus on mimicking the neuro-biological architecture to …
Precise gas discrimination with cross-reactive graphene and metal oxide sensor arrays
C Shi, H Ye, H Wang, DE Ioannou, Q Li - Applied Physics Letters, 2018 - pubs.aip.org
Discriminating similar molecules remains a very challenging problem for semiconductor gas
sensors. Here, we report a method to achieve precise gas discrimination of similar chemical …
sensors. Here, we report a method to achieve precise gas discrimination of similar chemical …
[HTML][HTML] eBrainII: a 3 kW realtime custom 3D DRAM integrated ASIC implementation of a biologically plausible model of a human scale cortex
Abstract The Artificial Neural Networks (ANNs), like CNN/DNN and LSTM, are not
biologically plausible. Despite their initial success, they cannot attain the cognitive …
biologically plausible. Despite their initial success, they cannot attain the cognitive …
[HTML][HTML] Reducing the computational footprint for real-time BCPNN learning
B Vogginger, R Schüffny, A Lansner… - Frontiers in …, 2015 - frontiersin.org
The implementation of synaptic plasticity in neural simulation or neuromorphic hardware is
usually very resource-intensive, often requiring a compromise between efficiency and …
usually very resource-intensive, often requiring a compromise between efficiency and …
Odour perception: A review of an intricate signalling pathway
A Tromelin - Flavour and Fragrance Journal, 2016 - Wiley Online Library
The perception of odours is the result of the complex processing of a signal, which initiates
at peripheral receptors and ends in the brain. Along this pathway, olfactory signal …
at peripheral receptors and ends in the brain. Along this pathway, olfactory signal …
[HTML][HTML] Large-scale simulations of plastic neural networks on neuromorphic hardware
SpiNNaker is a digital, neuromorphic architecture designed for simulating large-scale
spiking neural networks at speeds close to biological real-time. Rather than using bespoke …
spiking neural networks at speeds close to biological real-time. Rather than using bespoke …
[HTML][HTML] Functional relevance of different basal ganglia pathways investigated in a spiking model with reward dependent plasticity
The brain enables animals to behaviorally adapt in order to survive in a complex and
dynamic environment, but how reward-oriented behaviors are achieved and computed by its …
dynamic environment, but how reward-oriented behaviors are achieved and computed by its …