Takashi Nakano

Okinawa Institute of Science and Technology, Onna-son, Okinawa-ken, Japan 
Basal ganglia, Synaptic plasticity, Reinforcement learning
"Takashi Nakano"
Mean distance: 14.18 (cluster 17)
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Zucca S, Zucca A, Nakano T, et al. (2018) Pauses in cholinergic interneuron firing exert an inhibitory control on striatal output in vivo. Elife. 7
Nakano T, Mackay SM, Wui Tan E, et al. (2016) Interfacing with Neural Activity via Femtosecond Laser Stimulation of Drug-Encapsulating Liposomal Nanostructures. Eneuro. 3
Nakano T, Otsuka M, Yoshimoto J, et al. (2015) A spiking neural network model of model-free reinforcement learning with high-dimensional sensory input and perceptual ambiguity. Plos One. 10: e0115620
Nakano T, Chin C, Myint DM, et al. (2014) Mimicking subsecond neurotransmitter dynamics with femtosecond laser stimulated nanosystems. Scientific Reports. 4: 5398
Nakano T, Yoshimoto J, Doya K. (2013) A model-based prediction of the calcium responses in the striatal synaptic spines depending on the timing of cortical and dopaminergic inputs and post-synaptic spikes. Frontiers in Computational Neuroscience. 7: 119
Nakano T, Doi T, Yoshimoto J, et al. (2010) A kinetic model of dopamine- and calcium-dependent striatal synaptic plasticity. Plos Computational Biology. 6: e1000670
Nakano T, Yoshimoto J, Wickens J, et al. (2009) Calcium responses model in striatum dependent on timed input sources Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5768: 249-258
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