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Computational Techniques in Neuroscience - Computational Methods for Industrial Applications
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Computational Techniques in Neuroscience - Computational Methods for Industrial Applications
The text discusses the techniques of deep learning and machine learning in the field of neuroscience, engineering approaches to study the brain structure and dynamics, convolutional networks for fast, energy-efficient neuromorphic computing, and reinforcement learning in feedback control. It showcases case studies in neural data analysis.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2025. gada 26. maijs |
| ISBN13 | 9781032503431 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 224 |
| Izmēri | 150 × 220 × 10 mm · 340 g |
| Valoda | Angļu |
| Redaktors | Gupta, Umesh (Bennett University, India) |
| Redaktors | Malik, Kamal (Maharaja Agrasen Institute of Technology, Delhi, India) |
| Redaktors | Sadawarti, Harsh (Desh Bhagat University, India) |
| Redaktors | Sharma, Moolchand (MAIT, India) |
| Redaktors | Tiwari, Prayag (Aalto University, Finland) |
