Brain Inspired Electronics

Abstract:

The presence of neurons and synapses is a unique feature of the biological brain. Emulating its properties is a technological challenge that has been addressed with increasing degree of success since the mid-20th century. However, due to limitations in power consumption, processing speed, and component miniaturization this challenge is more open than ever.

In this work, we explore the electrical response of self-assembled networks of Ag-PVP nanowires (NWs) as a physical (i.e., hardware based) platform for performing tasks following brain-inspired guidelines (i.e. neuromorphic computing). The electrical circuit is modeled as a random network composed of resistors (the NWs) and memristors (junctions formed at the junctions between NWs). The motivation is both topographical and morphological, as well as functional, since memristors emulate synaptic processes: they can encode weights (i.e. plasticity) in their non-volatile resistance values (memory).

Short biography:

Pablo Levy (born in 1962, Argentina) is a Researcher (CNEA, CONICET, and UNSAM) working at the "Devices and Sensors" Group (CNEA-Bariloche) and at the School of Science and Technology (UNSAM-Buenos Aires). His professional interest lies in device physics. Focusing on condensed matter electrical transport, he is the co-author of over 100 publications, has supervised 10 PhD theses. His work has focused on the fabrication and characterization of emerging electronic devices for applications in harsh environments (aerospace, nuclear) and on memristors for neuromorphic computing. Recently, his interest in the search for applications based on nano-object networks has led him to promote national (IA-CoNSoFi in PIET-R/CONICET, made up of 70+ researchers from 10 Executing Units) and international collaborations (BiENN in MSCActions/UE, with 21 international partners).

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