What is Neural Approaches in animal welfare?
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Neural approaches in animal welfare involve using neurophysiology and neuroscience to assess and improve the well-being of animals. These approaches aim to understand the biological basis of emotions, learning, memory, and stress in animals. Neurophysiology has provided insights into the mechanisms of animal behavior and the effectiveness of welfare interventions. It has also helped in developing objective criteria for assessing animal welfare, such as physiological measures of stress and brain levels of neurotransmitters . Additionally, neural networks embedded in smart collar devices have been used to classify and monitor animal behaviors in real-time, reducing the amount of data transmitted and improving battery life . The subjective psychological state of animals regarding their internal and external environment is inferred from objective signs, including physiological and behavioral markers, based on the psychobiology of emotion, stress, and adaptation . These neural approaches contribute to the understanding and improvement of animal welfare by providing scientific evidence and tools for assessing and enhancing the well-being of animals.
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Open access 01 Jan 2006 | The provided paper does not specifically mention "Neural Approaches" in animal welfare. |
9 Citations | Neural approaches in animal welfare are not specifically mentioned in the provided paper. The paper discusses the relevance of animal cognition and neuroscience in addressing questions of animal consciousness and assessing animal welfare. |
| Neural approaches in animal welfare are discussed in the paper, which focuses on the contributions of neurophysiology in assessing and improving animal welfare. | |
39 Citations | The provided paper does not specifically mention "Neural Approaches in animal welfare." |
Open access•Journal Article | The provided paper does not specifically mention "Neural Approaches in animal welfare." |
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