3 research outputs found
Computational Astrocyence: Astrocytes encode inhibitory activity into the frequency and spatial extent of their calcium elevations
Deciphering the complex interactions between neurotransmission and astrocytic
elevations is a target promising a comprehensive understanding of
brain function. While the astrocytic response to excitatory synaptic activity
has been extensively studied, how inhibitory activity results to intracellular
waves remains elusive. In this study, we developed a compartmental
astrocytic model that exhibits distinct levels of responsiveness to inhibitory
activity. Our model suggested that the astrocytic coverage of inhibitory
terminals defines the spatial and temporal scale of their elevations.
Understanding the interplay between the synaptic pathways and the astrocytic
responses will help us identify how astrocytes work independently and
cooperatively with neurons, in health and disease.Comment: 4 pages, 3 figures, IEEE-EMBS International Conference on Biomedical
and Health Informatics (BHI '19
Introducing Astrocytes on a Neuromorphic Processor: Synchronization, Local Plasticity and Edge of Chaos
While there is still a lot to learn about astrocytes and their
neuromodulatory role in the spatial and temporal integration of neuronal
activity, their introduction to neuromorphic hardware is timely, facilitating
their computational exploration in basic science questions as well as their
exploitation in real-world applications. Here, we present an astrocytic module
that enables the development of a spiking Neuronal-Astrocytic Network (SNAN)
into Intel's Loihi neuromorphic chip. The basis of the Loihi module is an
end-to-end biophysically plausible compartmental model of an astrocyte that
simulates the intracellular activity in response to the synaptic activity in
space and time. To demonstrate the functional role of astrocytes in SNAN, we
describe how an astrocyte may sense and induce activity-dependent neuronal
synchronization, switch on and off spike-time-dependent plasticity (STDP) to
introduce single-shot learning, and monitor the transition between ordered and
chaotic activity at the synaptic space. Our module may serve as an extension
for neuromorphic hardware, by either replicating or exploring the distinct
computational roles that astrocytes have in forming biological intelligence.Comment: 9 pages, 7 figure