[HTML][HTML] SORN: a self-organizing recurrent neural network
Understanding the dynamics of recurrent neural networks is crucial for explaining how the
brain processes information. In the neocortex, a range of different plasticity mechanisms are …
brain processes information. In the neocortex, a range of different plasticity mechanisms are …
Untangling perceptual memory: Hysteresis and adaptation map into separate cortical networks
Perception is an active inferential process in which prior knowledge is combined with sensory
input, the result of which determines the contents of awareness. Accordingly, previous …
input, the result of which determines the contents of awareness. Accordingly, previous …
[HTML][HTML] Epitranscriptomic signatures in lncRNAs and their possible roles in cancer
In contrast to the amazing exponential growth in knowledge related to long non-coding RNAs
(lncRNAs) involved in cell homeostasis or dysregulated pathological states, little is known …
(lncRNAs) involved in cell homeostasis or dysregulated pathological states, little is known …
Nanocomposite foams based on flexible biobased thermoplastic polyurethane and ZnO nanoparticles as potential wound dressing materials
In the present study biobased and soft thermoplastic polyurethane (TPU), obtained by
polymerization from fatty acids, was used to produce TPU/ZnO nanocomposite foams by thermally …
polymerization from fatty acids, was used to produce TPU/ZnO nanocomposite foams by thermally …
[HTML][HTML] Robust encoding of natural stimuli by neuronal response sequences in monkey visual cortex
Parallel multisite recordings in the visual cortex of trained monkeys revealed that the responses
of spatially distributed neurons to natural scenes are ordered in sequences. The rank …
of spatially distributed neurons to natural scenes are ordered in sequences. The rank …
[HTML][HTML] Graphene-related nanomaterials for biomedical applications
AI Lazăr, K Aghasoleimani, A Semertsidou, J Vyas… - Nanomaterials, 2023 - mdpi.com
This paper builds on the context and recent progress on the control, reproducibility, and
limitations of using graphene and graphene-related materials (GRMs) in biomedical applications…
limitations of using graphene and graphene-related materials (GRMs) in biomedical applications…
Fading memory and time series prediction in recurrent networks with different forms of plasticity
We investigate how different forms of plasticity shape the dynamics and computational
properties of simple recurrent spiking neural networks. In particular, we study the effect of …
properties of simple recurrent spiking neural networks. In particular, we study the effect of …
[HTML][HTML] Where's the noise? Key features of spontaneous activity and neural variability arise through learning in a deterministic network
Even in the absence of sensory stimulation the brain is spontaneously active. This background
“noise” seems to be the dominant cause of the notoriously high trial-to-trial variability of …
“noise” seems to be the dominant cause of the notoriously high trial-to-trial variability of …
[PDF][PDF] Cortical gamma-band resonance preferentially transmits coherent input
Synchronization has been implicated in neuronal communication, but causal evidence remains
indirect. We use optogenetics to generate depolarizing currents in pyramidal neurons of …
indirect. We use optogenetics to generate depolarizing currents in pyramidal neurons of …
Stimulus complexity shapes response correlations in primary visual cortex
Spike count correlations (SCCs) are ubiquitous in sensory cortices, are characterized by
rich structure, and arise from structured internal dynamics. However, most theories of visual …
rich structure, and arise from structured internal dynamics. However, most theories of visual …