Publications by authors named "Roman Martel"
Spiking networks that perform probabilistic inference have been proposed both as models of cortical computation and as candidates for solving problems in machine learning. However, the evidence for spike-based computation being in any way superior to non-spiking alternatives remains scarce. We propose that short-term synaptic plasticity can provide spiking networks with distinct computational advantages compared to their classical counterparts.
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- The text includes a collection of research topics related to neural circuits, mental disorders, and computational models in neuroscience.
- It features various studies examining the functional advantages of neural heterogeneity, propagation waves in the visual cortex, and dendritic mechanisms crucial for precise neuronal functioning.
- The research covers a range of applications, from understanding complex brain rhythms to modeling auditory processing and investigating the effects of neural regulation on behavior.