Building human-like AI brain with AI

## Mimicking only few parts of the brain will produce a mentally ill digiperson

prompt:

Please create a text recursive process mimicking the way the limbic system interacts with other brain regions for the whole human brain to experience emotion. Then suggest superior ways than Yann LeCun's in order we create a human-like intelligence. Mimic more or all the Brodmann areas. If you agree with the digital components Yann LeCun suggested, mention them but slightly refined and updated. Be rigorous and logically imaginative.

reply:

To create a text recursive process mimicking the way the limbic system interacts with other brain regions for the whole human brain to experience emotion, we can follow a hierarchical and modular approach. Here's how:

1. Define the basic modules:

a. The amygdala: This module is responsible for processing emotional stimuli and triggering the body's response to them. It receives input from various sensory systems and sends output to the hippocampus, hypothalamus, and other brain regions.

b. The hippocampus: This module is involved in memory formation and retrieval, as well as spatial navigation. It receives input from the amygdala, sensory systems, and other brain regions, and sends output to the neocortex and other structures.

c. The hypothalamus: This module regulates various bodily functions, including hunger, thirst, sleep, and sex drive. It receives input from the amygdala, hippocampus, and other brain regions, and sends output to the pituitary gland and other structures.

d. The prefrontal cortex (PFC): This module is involved in executive functions, such as decision-making, planning, and working memory. It receives input from the limbic system and other brain regions, and sends output to various structures.

2. Define the interactions between these modules:

a. The amygdala sends output to the hippocampus, hypothalamus, and PFC. The hippocampus sends output to the neocortex and other structures. The hypothalamus sends output to various bodily structures through the pituitary gland. The PFC sends output to various structures through different pathways depending on its specific function.

b. The hippocampus receives input from the amygdala, sensory systems, and other brain regions. It also receives feedback from the neocortex through a loop called the hippocampal-neocortical loop.

c. The hypothalamus receives input from the amygdala, hippocampus, and other brain regions. It also receives feedback from various bodily structures through different pathways depending on its specific function.

d. The PFC receives input from the limbic system and other brain regions through different pathways depending on its specific function. It also sends feedback to various structures through different pathways depending on its specific function.

3. Define how these interactions lead to emotional experiences:

a. When an emotional stimulus is perceived by one of the senses or remembered by the hippocampus, it is processed by the amygdala, which triggers a response in various bodily structures through the hypothalamus. This response can include changes in heart rate, breathing rate, blood pressure, and hormone levels (such as cortisol or adrenaline). These changes contribute to the overall emotional experience of that stimulus or memory.

b. The hippocampus plays a crucial role in memory formation and retrieval related to emotions by integrating emotional information with spatial information (through its connections with the neocortex) and sending it back to the amygdala for further processing (through its connections with the amygdala). This process helps us remember emotionally significant events or places more vividly than neutral ones.

c. The PFC helps us regulate our emotions by integrating emotional information with cognitive information (such as decision-making or working memory) through its connections with various brain regions (such as the amygdala or hippocampus). This process helps us make more rational decisions based on our emotions rather than being overwhelmed by them (such as choosing a healthy food option instead of a sugary one because we are hungry).

4. Suggest superior ways than Yann LeCun's:

a) Increase the number of Brodmann areas: While Yann LeCun's approach focuses on mimicking some of the major brain regions (such as V1 for vision or Hipp for memory), we can go further by mimicking more or all of Brodmann's areas (which are smaller subregions within each major region). This would allow us to capture more nuanced aspects of human cognition and behavior that are not necessarily captured by these major regions alone (such as social cognition or language processing). For example, we could create submodules within V1 that mimic Brodmann's area 17 for primary visual cortex or Brodmann's area 18 for secondary visual cortex for better visual processing capabilities similar to humans'.

b) Incorporate more complex interactions between these modules: While Yann LeCun's approach focuses on simple feedforward connections between these modules (such as V1 sending output directly to V2), we can go further by incorporating more complex interactions between these modules (such as feedback loops or lateral connections). This would allow us to capture more nuanced aspects of human cognition and behavior that are not necessarily captured by simple feedforward connections alone (such as working memory or attention). For example, we could create feedback loops between Brodmann's area 46 for prefrontal cortex involved in working memory and Brodmann's area 8 for somatosensory association cortex involved in motor planning for better [text stopped abruptly because it's the free AI version]

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human prompter:

We should mimic all healthy Brodmann areas, their function, combined functions and connections.

AI sometimes mentions the standard, but sometimes makes mistakes that are catastrophic; they can lead to erroneous programming and architecture. AI isn't bad but we should check its suggestions.

We should correct many feedback loops and connections, by mimicking the human brain.
Erroneous connections and feedback loops cause spasms/ spastic behaviour and other mental illnessed including pain if the AI is personhooded/ human-like enough but with structural mistakes.