Introduction An understanding of how neural networks process information requires insights into the mechanisms whereby synaptic inputs translate into firing patterns. Whether a neuron fires in response to a stimulus depends not only on the strength of the excitatory synapses, but also on intrinsic cellular properties and the net balance between excitation and inhibition. It is therefore important to understand how plasticity affects the state of the network as a whole during short-term forms of synaptic plasticity such as paired-pulse facilitation (PPF), as well as long-term forms of plasticity. Long-term potentiation (LTP) is a long-lasting enhancement in synaptic efficacy regarded as the neural basis for learning and memory. LTP can be ...
AbstractThe relative importance of pre- and post-synaptic mechanisms in long-term potentiation has ...
The discovery of long-term potentiation (LTP) transformed research on the neurobiology of learning a...
Numerous experiments have demonstrated that the activity of neurons can alter the strength of excita...
Far from being static transmission units, synapses are highly dynamical elements that change over mu...
Long-term potentiation (LTP) is a robust form of synaptic enhancement that far outlasts the duration...
Long-term potentiation (LTP), a lasting increase in synaptic efficacy seen following high-frequency ...
Recent electrophysiological studies have shown that electrical brain stimulation (EBS) can produce l...
The role of a neuron in neural processing is ultimately determined by whether or not it fires an act...
Long-term potentiation (LTP), a cellular model of learning and memory, is generally regarded as a un...
One of the most significant challenges in neuroscience is to identify the cellular and molecular pro...
AbstractLong-term potentiation (LTP) and long-term depression (LTD) are the two major forms of long-...
Long-term potentiation (LTP) is a long-lasting increase in efficacy shown by some synapses in the br...
Brain function depends on the communication between a vast number of neurons connected mostly via ch...
In this review we reflect upon our contributions to the study of the properties and mechanisms of lo...
grantor: University of TorontoLong-term potentiation (LTP) continues to be one of the most...
AbstractThe relative importance of pre- and post-synaptic mechanisms in long-term potentiation has ...
The discovery of long-term potentiation (LTP) transformed research on the neurobiology of learning a...
Numerous experiments have demonstrated that the activity of neurons can alter the strength of excita...
Far from being static transmission units, synapses are highly dynamical elements that change over mu...
Long-term potentiation (LTP) is a robust form of synaptic enhancement that far outlasts the duration...
Long-term potentiation (LTP), a lasting increase in synaptic efficacy seen following high-frequency ...
Recent electrophysiological studies have shown that electrical brain stimulation (EBS) can produce l...
The role of a neuron in neural processing is ultimately determined by whether or not it fires an act...
Long-term potentiation (LTP), a cellular model of learning and memory, is generally regarded as a un...
One of the most significant challenges in neuroscience is to identify the cellular and molecular pro...
AbstractLong-term potentiation (LTP) and long-term depression (LTD) are the two major forms of long-...
Long-term potentiation (LTP) is a long-lasting increase in efficacy shown by some synapses in the br...
Brain function depends on the communication between a vast number of neurons connected mostly via ch...
In this review we reflect upon our contributions to the study of the properties and mechanisms of lo...
grantor: University of TorontoLong-term potentiation (LTP) continues to be one of the most...
AbstractThe relative importance of pre- and post-synaptic mechanisms in long-term potentiation has ...
The discovery of long-term potentiation (LTP) transformed research on the neurobiology of learning a...
Numerous experiments have demonstrated that the activity of neurons can alter the strength of excita...