Yaroslav Felipe Kalle Kossio

ORCID: 0000-0003-0696-6079
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About
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Research Areas
  • Neural dynamics and brain function
  • Advanced Memory and Neural Computing
  • Neurobiology and Insect Physiology Research
  • Insect and Arachnid Ecology and Behavior
  • Insect Utilization and Effects
  • Neural Networks and Applications
  • Neuroscience and Neuropharmacology Research
  • Neural Networks and Reservoir Computing
  • Ecosystem dynamics and resilience
  • Diffusion and Search Dynamics
  • Receptor Mechanisms and Signaling

University of Bonn
2018-2021

Significance Associative memories are thought to be represented by neuronal assemblies, ensembles of nerve cells with strong synaptic interconnectivity. Experiments have, however, shown that synapses can change spontaneously. Motivated this and experimentally observed changes representations, we propose assemblies drift freely in the brain, due noisy network activity spontaneous changes, basis associative memory. How behaviors persist despite these changes? We find simple, teacher-free...

10.1073/pnas.2023832118 article EN Proceedings of the National Academy of Sciences 2021-11-12

Experiments in various neural systems found avalanches: bursts of activity with characteristics typical for critical dynamics. A possible explanation their occurrence is an underlying network that self-organizes into a state. We propose simple spiking model developing networks, showing how these may "grow into" criticality. Avalanches generated by our correspond to clusters widely applied Hawkes processes. analytically derive the cluster size and duration distributions find they agree those...

10.1103/physrevlett.121.058301 article EN Physical Review Letters 2018-08-03

The ability of humans and animals to quickly adapt novel tasks is difficult reconcile with the standard paradigm learning by slow synaptic weight modification. Here we show that fixed-weight neural networks can learn generate required dynamics imitation. After appropriate pretraining, dynamically new thereafter continue achieve them without further teacher feedback. We explain this illustrate it a variety target dynamics, ranging from oscillatory trajectories driven chaotic dynamical systems.

10.1103/physrevlett.125.088103 article EN Physical Review Letters 2020-08-19

Neural representations of sensory stimuli serve multiple distinct purposes, from the rapid recognition familiar environments, to precise identification individual salient cues. In insect mushroom body (MB), odours are encoded by activity Kenyon cells (KCs). The random wiring olfactory projection neurons (PNs) and KCs in MB calyx is thought enhance odour discrimination. Here, we examined impact deviations demonstrated their significant roles shaping representations. We confirm that different...

10.1101/2025.01.25.634657 preprint EN cc-by-nc bioRxiv (Cold Spring Harbor Laboratory) 2025-01-26

Change is ubiquitous in living beings. In particular, the connectome and neural representations can change. Nevertheless behaviors memories often persist over long times. a standard model, are represented by assemblies of strongly interconnected neurons. For faithful storage these assumed to consist same neurons time. Here we propose contrasting memory model with complete temporal remodeling assemblies, based on experimentally observed changes connections representations. The drift freely as...

10.1101/2020.08.31.276147 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2020-09-02
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