A theoretical framework of reinforcement learning plays an important role in understanding action selection in animals. Spiking neural networks provide a theoretically grounded means to test computational hypotheses on neurally plausible algorithm...
Takashi Nakano   Catherine Chin   David Mo Aung Myint   Eng Wui Tan   Peter John Hale   Bala Murali M. Krishna   John N. J. Reynolds   Jeff Wickens   Keshav M. Dani   
SCIENTIFIC REPORTS 4 5398 2014年6月 [査読有り]
Existing nanoscale chemical delivery systems target diseased cells over long, sustained periods of time, typically through one-time, destructive triggering. Future directions lie in the development of fast and robust techniques capable of reproduc...
Frontiers in Computational Neuroscience 7 119 2013年9月 [査読有り]
The dopamine-dependent plasticity of the cortico-striatal synapses is considered as the cellular mechanism crucial for reinforcement learning. The dopaminergic inputs and the calcium responses affect the synaptic plasticity by way of the signaling...
Corticostriatal synapse plasticity of medium spiny neurons is regulated by glutamate input from the cortex and dopamine input from the substantia nigra. While cortical stimulation alone results in long-term depression (LTD), the combination with d...
Takashi Nakano   Catherine Chin   David Mo Aung Myint   Eng Wui Tan   Peter John Hale   John N. J. Reynolds   Jeff Wickens   Keshav M. Dani   
2014 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO) 2014年
The development of fast and robust chemical delivery systems is important step for nanomedicine. We demonstrate on-demand, sub-second, controlled release of a neuromodulator by applying femtosecond laser pulse trains to robust, liposome structures.