A novel neuromorphic engine for emotional and affective analysis by miming neurotransmitters and bioliquid intelligence

Key Points

• Emotional and affective analysis shows significant insights into user behavior and responses.
• Key evidence from emotional algorithms indicates improved accuracy in predicting responses, with potential applications in AI.
• The analysis employs a neuromorphic engine to mimic neurotransmitters for effective emotional processing.
• This model may enable advancements in AI applications, though further validation in real-world scenarios is essential.