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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.
296 pages, 28 Tables, black and white; 41 Line drawings, black and white; 14 Halftones, black and wh
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2023. gada 14. novembris |
| ISBN13 | 9781032461281 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 224 |
| Izmēri | 150 × 220 × 20 mm · 610 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) |
