… The use of memristive devices in neuromorphic electronics … potential to reproduce synaptic
plasticity through the devices’ … window can be exploited to map the activities of the neurons …

… and exploit such similarities, and map the properties of neural … in this thesis comprises the
SAC and a neuromorphic … where the synapses do not implement learning or local adaptation …

… 2 artificial synapse transistor can mimic the basic synaptic … energy utilization, and flexible
adaptive and massively parallel … ) The Raman mapping of h-BN-encapsulated MoS 2 synaptic …

… plasticity for low-overhead learning at the edge and online adaptation to uncontrolled
environments. With the ODIN 256-neuron 64k-synapse chip, we show that moving synaptic …

… The metal layer between FE and DE acts as a floating gate (… applied on the T-type synapses
through the bit line. After the … and FE HZO, the neuromorphic computing cores can be the …

… adaptability and fault tolerance while simultaneously being extremely energy efficient.
Neuromorphic … weights of these artificial synapses as well as those that make use of hidden-layer …

… We argue that even for neuromorphic processors, one should not simply apply … map of the
entire central brain region of Drosophila, containing 25,000 neurons and 2 million synapses. …

… Neuromorphic engineering aims to develop adaptive and efficient artificial neural … hidden
populations connected by trainable synapses. To learn the correct mapping, we introduced a …

… imposed via mapping onto existing neuromorphic hardware … A circuit has also been presented
which closely models the … are excited by synapses with short-term synaptic plasticity to …

… in this system makes viable the mapping of the structure of the … In this dissertation, I show
the first adaptive motion model … Here, we only describe the synaptic connections between the …