Biomimicry at the hardware level is expected to overcome at least some of the challenges, including high power consumption, large footprint, two-dimensionality, and limited functionality, which arise as the field of artificial intelligence matures. One of the main attributes that allow biological systems to thrive is the successful interpretation of and response to environmental signals. Taking inspiration from these systems, the first demonstration of using multiple environmental inputs to trigger the formation and control the growth of an evolvable synaptic transistor is reported here. The resulting transistor exhibits long-term changes in the channel conductance at a fixed gate voltage. Biomimetic logic circuits are investigated based on...
With the growing demand for bio- and eco-friendly artificial synapses, we propose a novel synaptic t...
Modern electronics has revolutionized the way information is processed and stored in our society. In...
Future brain-computer interfaces will require local and highly individualized signal processing of f...
Biomimicry at the hardware level is expected to overcome at least some of the challenges, including ...
An evolvable organic electrochemical transistor (OECT), operating in the hybrid accumulation-depleti...
Neuromorphic systems that display synaptic conditioning based on biochemical signaling activity have...
This thesis reports part of the results obtained during these 3 years of PhD program in which I have...
How can the brain be such a good computer? Part of the answer lies in the astonishing number of neur...
Future brain-machine interfaces, prosthetics, and intelligent soft robotics will require integrating...
Background: As a key component in artificial intelligence computing, a transistor design is updated ...
The ability of bioelectronic devices to conduct protons and other ions opens up opportunities to int...
The idea of building a brain-inspired cognitive system has been around for several decades. Recently...
We report on an artificial synapse, an organic synapse-transistor (synapstor) working at 1 V and wit...
The brain is capable of massively parallel information processing while consuming only similar to 1-...
An organic artificial neuron that is based on a compact nonlinear electrochemical element can operat...
With the growing demand for bio- and eco-friendly artificial synapses, we propose a novel synaptic t...
Modern electronics has revolutionized the way information is processed and stored in our society. In...
Future brain-computer interfaces will require local and highly individualized signal processing of f...
Biomimicry at the hardware level is expected to overcome at least some of the challenges, including ...
An evolvable organic electrochemical transistor (OECT), operating in the hybrid accumulation-depleti...
Neuromorphic systems that display synaptic conditioning based on biochemical signaling activity have...
This thesis reports part of the results obtained during these 3 years of PhD program in which I have...
How can the brain be such a good computer? Part of the answer lies in the astonishing number of neur...
Future brain-machine interfaces, prosthetics, and intelligent soft robotics will require integrating...
Background: As a key component in artificial intelligence computing, a transistor design is updated ...
The ability of bioelectronic devices to conduct protons and other ions opens up opportunities to int...
The idea of building a brain-inspired cognitive system has been around for several decades. Recently...
We report on an artificial synapse, an organic synapse-transistor (synapstor) working at 1 V and wit...
The brain is capable of massively parallel information processing while consuming only similar to 1-...
An organic artificial neuron that is based on a compact nonlinear electrochemical element can operat...
With the growing demand for bio- and eco-friendly artificial synapses, we propose a novel synaptic t...
Modern electronics has revolutionized the way information is processed and stored in our society. In...
Future brain-computer interfaces will require local and highly individualized signal processing of f...