Python Forum

Hi.

I try to make and run first time AI Neural Network on my computer.
Knowledge Python is basic.

I'm using Linux Ubuntu.

I install whole in system using apt.
When show communicate about pip, then I'm doing that.
[Is a lot of problems with right file names and compatibility.]

I try to configure to direction in home catalogue [advice from Gemini].
Port 65432 is unblocked in firewall.

Helpful is Gemini, but can't solve problems what I have now.

Please help me with that.

Python engine:

import brian2
import socket
import numpy as np

from brian2 import Neuron, Eq


# Define neuron equations
eqs = '''
dv/dt = (I - gl*(v-Vl) - gNa*(m**3)*h*(v-VNa) - gK*(n**4)*(v-VK)) / Cm
dm/dt = alpha_m(v)*(1-m) - beta_m(v)*m
dh/dt = alpha_h(v)*(1-h) - beta_h(v)*h
dn/dt = alpha_n(v)*(1-n) - beta_n(v)*n
'''

# Define parameters and functions for the equations (replace with actual definitions)
Vl = -65*mV  # Leak reversal potential
VNa = 50*mV  # Sodium reversal potential
VK = -70*mV  # Potassium reversal potential
Cm = 1*uF/cm2  # Membrane capacitance
gl = 0.3e-3*siemens/cm2  # Leak conductance
gNa = 120e-3*siemens/cm2  # Sodium conductance
gK = 36e-3*siemens/cm2  # Potassium conductance

# Define neuron object using custom equations
neurons = Neuron(eqs=eqs, methods={'alpha_m': alpha_m, 'beta_m': beta_m, 'alpha_h': alpha_h, 'beta_h': beta_h, 'alpha_n': alpha_n, 'beta_n': beta_n})  # Include all required methods


# Standard variables
num_neurons = 1000
duration = 1000  # Simulation duration in milliseconds

# **(Replace with your implementation)**
# Hodgkin-Huxley neuron model with STDP learning (replace with your specific neuron and synapse definitions)
# ... (Include your specific code for defining synapses and learning rules)


# Data variables
average_firing_rates = []
average_synaptic_weights = []

# Recording functions
def record_firing_rates():
    global average_firing_rates
    average_firing_rates.append(np.mean(spike_monitor.count / (duration * 1000)))  # Convert to Hz

def record_synaptic_weights():
    global average_synaptic_weights
    weights = synapses.weight  # Assuming you have a 'synapses' object with weight attribute
    average_synaptic_weights.append(np.mean(weights))

# Network monitors
spike_monitor = brian2.SpikeMonitor(source=neurons)
brian2.NetworkOperation(record_firing_rates, dt=10*brian2.ms)  # Record every 10 ms
brian2.NetworkOperation(record_synaptic_weights, dt=100*brian2.ms)  # Record every 100 ms

# Network socket setup (replace with your IP address and port)
HOST = '127.0.0.1'  # Standard loopback interface address (localhost)
PORT = 65432        # Port to listen on (non-privileged ports are > 1023)
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.bind((HOST, PORT))

# Run the simulation
brian2.run(duration * brian2.ms)

# Send data to C++ program (replace with IPC if on the same machine)
data = {'firing_rates': average_firing_rates, 'synaptic_weights': average_synaptic_weights}
data_str = str(data)  # Convert data to string for sending
s.sendall(data_str.encode())

# Close the socket
s.close()

I have too second code in C++:

#include <iostream>
#include <stdio.h>
#include <stdlib.h>
#include <unistd.h>
#include <string.h>
#include <sys/types.h>
#include <sys/socket.h>
#include <netinet/in.h>
#include <arpa/inet.h>
#include <sstream>
#include <jsoncpp/json.h>  // Include JSON library for parsing

int main() {
  // Standard variables
  int port = 65432;  // Port used by Brian 2 simulation
  std::string host = "localhost";  // Replace with IP address of Brian 2 (if not localhost)

  // Socket setup
  int sockfd;
  struct sockaddr_in servaddr;

  sockfd = socket(AF_INET, SOCK_STREAM, 0);
  if (sockfd == -1) {
    perror("socket creation failed");
    exit(EXIT_FAILURE);
  }

  memset(&servaddr, 0, sizeof(servaddr));

  servaddr.sin_family = AF_INET;
  servaddr.sin_port = htons(port);
  servaddr.sin_addr.s_addr = inet_addr(host.c_str());

  if (connect(sockfd, (struct sockaddr*)&servaddr, sizeof(servaddr)) != 0) {
    perror("connection failed");
    exit(EXIT_FAILURE);
  }

  // Data receiving and processing loop
  while (1) {
    char buffer[1024]; // Adjust buffer size based on data volume
    int n = recv(sockfd, buffer, sizeof(buffer), 0);
    if (n == 0) {
      printf("Connection closed by server\n");
      break;
    } else if (n == -1) {
      perror("recv failed");
      exit(EXIT_FAILURE);
    }

    // Parse received data (assuming JSON format)
    std::string data_str(buffer, n);
    Json::Reader reader;
    Json::Value data;
    if (!reader.parse(data_str, data)) {

Error:

Error:
Python 3.12.3 (main, Apr 10 2024, 05:33:47) [GCC 13.2.0] on linux
Type "help", "copyright", "credits" or "license()" for more information.

= RESTART: /home/peter/python/ai_neural_brain_2/engine_brain_2.py =
ERROR      Brian 2 encountered an unexpected error. If you think this is a bug in Brian 2, please report this issue either to the discourse forum at <http://brian.discourse.group/>, or to the issue tracker at <https://github.com/brian-team/brian2/issues>. Please include this file with debug information in your report: /tmp/brian_debug_vkzoele7.log  Additionally, you can also include a copy of the script that was run, available at: /tmp/brian_script_fgiuug_k.py Thanks! [brian2]
Traceback (most recent call last):
  File "/usr/lib/python3.12/idlelib/run.py", line 580, in runcode
    exec(code, self.locals)
  File "/home/peter/python/ai_neural_brain_2/engine_brain_2.py", line 5, in <module>
    from brian2 import Neuron, Eq
ImportError: cannot import name 'Neuron' from 'brian2' (/usr/lib/python3/dist-packages/brian2/__init__.py)