Takashi Nakano
Affiliations: | Okinawa Institute of Science and Technology, Onna-son, Okinawa-ken, Japan |
Area:
Basal ganglia, Synaptic plasticity, Reinforcement learningWebsite:
http://sites.google.com/site/nakanotakashi/Google:
"Takashi Nakano"Mean distance: 14.18 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentorKenji Doya | grad student | Okinawa Institute of Science and Technology | |
Jeff R. Wickens | post-doc | University of Otago |
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Publications
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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 |