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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.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | May 26, 2025 |
| ISBN13 | 9781032503431 |
| Publishers | Taylor & Francis Ltd |
| Pages | 224 |
| Dimensions | 150 × 220 × 10 mm · 340 g |
| Language | English |
| Editor | Gupta, Umesh (Bennett University, India) |
| Editor | Malik, Kamal (Maharaja Agrasen Institute of Technology, Delhi, India) |
| Editor | Sadawarti, Harsh (Desh Bhagat University, India) |
| Editor | Sharma, Moolchand (MAIT, India) |
| Editor | Tiwari, Prayag (Aalto University, Finland) |
