Linux, Python, C ++, Brain2 and errors.

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:

Quote:

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++:

Quote:

#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:

Quote:

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)