Synaptic plasticity functions play a crucial role in the transmission of neural signals in the brain. Short-term plasticity is required for the transmission, encoding, and filtering of the neural signal, whereas long-term plasticity establishes more permanent changes in neural microcircuitry and thus underlies memory and learning. The realization of bioinspired circuits that can actually mimic signal processing in the brain demands the reproduction of both short- and long-term aspects of synaptic plasticity in a single device. Here, we demonstrate the implementation of neuromorphic functions similar to biological memory, such as short- to long-term memory transition, in non-volatile organic electrochemical transistors (OECTs). Depending on ...
Organic synaptic transistors using intrinsic (i.e., non-doped) organic semiconductors have demonstra...
Today software systems known as neural networks are at the basis of numerous artificial intelligence...
The volatile nature of current variations in organic electrochemical transistors (OECTs) is limiting...
An evolvable organic electrochemical transistor (OECT), operating in the hybrid accumulation-depleti...
Artificial synapses, with synaptic plasticity, are the key components of constructing the neuromorph...
Neuromorphic computing (NC), which emulates neural activities of the human brain, is considered for...
Organic neuromorphic electronics are inspired by a biological nervous system. Bio-inspired computing...
We report on an artificial synapse, an organic synapse-transistor (synapstor) working at 1 V and wit...
Neuromorphic systems that display synaptic conditioning based on biochemical signaling activity have...
We demonstrate an electrolyte-gated hybrid nanoparticle/organic synapstor (synapse-transistor, terme...
The brain is capable of massively parallel information processing while consuming only similar to 1-...
Organic synaptic transistors using intrinsic (i.e., non-doped) organic semiconductors have demonstra...
Today software systems known as neural networks are at the basis of numerous artificial intelligence...
The volatile nature of current variations in organic electrochemical transistors (OECTs) is limiting...
An evolvable organic electrochemical transistor (OECT), operating in the hybrid accumulation-depleti...
Artificial synapses, with synaptic plasticity, are the key components of constructing the neuromorph...
Neuromorphic computing (NC), which emulates neural activities of the human brain, is considered for...
Organic neuromorphic electronics are inspired by a biological nervous system. Bio-inspired computing...
We report on an artificial synapse, an organic synapse-transistor (synapstor) working at 1 V and wit...
Neuromorphic systems that display synaptic conditioning based on biochemical signaling activity have...
We demonstrate an electrolyte-gated hybrid nanoparticle/organic synapstor (synapse-transistor, terme...
The brain is capable of massively parallel information processing while consuming only similar to 1-...
Organic synaptic transistors using intrinsic (i.e., non-doped) organic semiconductors have demonstra...
Today software systems known as neural networks are at the basis of numerous artificial intelligence...
The volatile nature of current variations in organic electrochemical transistors (OECTs) is limiting...