Neural heterogeneity promotes robust learning
The brain is a hugely diverse, heterogeneous structure. Whether or not heterogeneity at the
neural level plays a functional role remains unclear, and has been relatively little explored in …
neural level plays a functional role remains unclear, and has been relatively little explored in …
Neural maps in the electrosensory system of weakly electric fish
Highlights•The active electrosense uses multiple topographic maps of the receptor
array.•Different cellular and circuit properties of the maps shape spatiotemporal tuning.•The …
array.•Different cellular and circuit properties of the maps shape spatiotemporal tuning.•The …
Efficient computation via sparse coding in electrosensory neural networks
MJ Chacron, A Longtin, L Maler - Current opinion in neurobiology, 2011 - Elsevier
The electric sense combines spatial aspects of vision and touch with temporal features of
audition. Its accessible neural architecture shares similarities with mammalian sensory …
audition. Its accessible neural architecture shares similarities with mammalian sensory …
Neural heterogeneity controls computations in spiking neural networks
The brain is composed of complex networks of interacting neurons that express
considerable heterogeneity in their physiology and spiking characteristics. How does this …
considerable heterogeneity in their physiology and spiking characteristics. How does this …
Intermediate intrinsic diversity enhances neural population coding
SJ Tripathy, K Padmanabhan… - Proceedings of the …, 2013 - National Acad Sciences
Cell-to-cell variability in molecular, genetic, and physiological features is increasingly
recognized as a critical feature of complex biological systems, including the brain. Although …
recognized as a critical feature of complex biological systems, including the brain. Although …
[HTML][HTML] Sequential and efficient neural-population coding of complex task information
Recent work has highlighted that many types of variables are represented in each
neocortical area. How can these many neural representations be organized together without …
neocortical area. How can these many neural representations be organized together without …
Optimal heterogeneity for coding in spiking neural networks
JF Mejias, A Longtin - Physical Review Letters, 2012 - APS
The effect of cellular heterogeneity on the coding properties of neural populations is studied
analytically and numerically. We find that heterogeneity decreases the threshold for …
analytically and numerically. We find that heterogeneity decreases the threshold for …
Statistics of natural communication signals observed in the wild identify important yet neglected stimulus regimes in weakly electric fish
J Henninger, R Krahe, F Kirschbaum… - Journal of …, 2018 - Soc Neuroscience
Sensory systems evolve in the ecological niches that each species is occupying.
Accordingly, encoding of natural stimuli by sensory neurons is expected to be adapted to the …
Accordingly, encoding of natural stimuli by sensory neurons is expected to be adapted to the …
Coding of object location by heterogeneous neural populations with spatially dependent correlations in weakly electric fish
M Haggard, MJ Chacron - PLOS Computational Biology, 2023 - journals.plos.org
Understanding how neural populations encode sensory stimuli remains a central problem in
neuroscience. Here we performed multi-unit recordings from sensory neural populations in …
neuroscience. Here we performed multi-unit recordings from sensory neural populations in …
A synapse-threshold synergistic learning approach for spiking neural networks
H Sun, W Cai, B Yang, Y Cui, Y Xia… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Spiking neural networks (SNNs) have demonstrated excellent capabilities in various
intelligent scenarios. Most existing methods for training SNNs are based on the concept of …
intelligent scenarios. Most existing methods for training SNNs are based on the concept of …