Takashi Nakano - Publications
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/Year | Citation | Score | |||
---|---|---|---|---|---|
2018 | Zucca S, Zucca A, Nakano T, Aoki S, Wickens J. Pauses in cholinergic interneuron firing exert an inhibitory control on striatal output in vivo. Elife. 7. PMID 29578407 DOI: 10.7554/Elife.32510 | 0.558 | |||
2016 | Nakano T, Mackay SM, Wui Tan E, Dani KM, Wickens J. Interfacing with Neural Activity via Femtosecond Laser Stimulation of Drug-Encapsulating Liposomal Nanostructures. Eneuro. 3. PMID 27896311 DOI: 10.1523/ENEURO.0107-16.2016 | 0.525 | |||
2015 | Nakano T, Otsuka M, Yoshimoto J, Doya K. A spiking neural network model of model-free reinforcement learning with high-dimensional sensory input and perceptual ambiguity. Plos One. 10: e0115620. PMID 25734662 DOI: 10.1371/Journal.Pone.0115620 | 0.478 | |||
2014 | Nakano T, Chin C, Myint DM, Tan EW, Hale PJ, Krishna M BM, Reynolds JN, Wickens J, Dani KM. Mimicking subsecond neurotransmitter dynamics with femtosecond laser stimulated nanosystems. Scientific Reports. 4: 5398. PMID 24954021 DOI: 10.1038/Srep05398 | 0.552 | |||
2013 | Nakano T, Yoshimoto J, Doya K. 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. PMID 24062681 DOI: 10.3389/Fncom.2013.00119 | 0.534 | |||
2010 | Nakano T, Doi T, Yoshimoto J, Doya K. A kinetic model of dopamine- and calcium-dependent striatal synaptic plasticity. Plos Computational Biology. 6: e1000670. PMID 20169176 DOI: 10.1371/Journal.Pcbi.1000670 | 0.533 | |||
2009 | Nakano T, Yoshimoto J, Wickens J, Doya K. 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. DOI: 10.1007/978-3-642-04274-4_26 | 0.599 | |||
Show low-probability matches. |