Lighting effect system for simulating neuron signal transmission

Abstract

The invention discloses an interactive science popularization display system and method based on neural pathway bionic simulation. The system comprises a voice interaction module used for receiving a user instruction; the emotion mapping module is used for mapping the user instruction into a neural pathway parameter set containing pathway identification, lighting effect color, pulse speed and waveform parameters; the signal generation module is used for generating a light control sequence according to the parameter set; and the physical layout of the light execution array imitates the topological structure of the brain functional area, and the light execution array is used for dynamically displaying the lighting effect of simulation neural signal conduction according to the control sequence. The spatial-temporal dynamic characteristics and optical parameters of neural electrical activity are accurately mapped, the problem that the neural biological process is invisible is solved, accurate optical simulation of action potential waveforms, conduction velocity and neurotransmitter types is achieved, the system remarkably improves intuition and interactivity of brain health science popularization education, and the brain health science popularization education system is suitable for popularization and application of brain health science popularization education. The method can be widely applied to the fields of science and technology museums, medical education, mental health science popularization and the like.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of neuroscience visualization, and particularly relates to a light effect system for simulating neuron signal transmission. BACKGROUND

[0002] Neurons are the basic units of the nervous system, responsible for receiving, transmitting and processing information. Neurons do not work alone, but interact with each other in a vast network, like a complex and delicate picture of electrical signal transmission. Understanding the transmission process of neuron signals helps us understand the operation of our brain and body.

[0003] In current popular science education, visual methods are often used to simulate the transmission of brain neuron signals, so that the viewer can intuitively understand the neural transmission path. For example, traditional light shows can only show the surface correlation of "emotion-color", and cannot reveal the real transmission mechanism of neurotransmitters between the brain. In an interactive light effect display system, the user's emotions need to be recognized for analysis. The existing technology usually uses multi-modal data such as electroencephalogram, speech, vision, and text for analysis. In order to ensure the accuracy of the analysis results, multiple data collection is used, and a long time is required for analysis to obtain the results, which is not suitable for light effect display in the field of popular science education. SUMMARY

[0004] The purpose of the present application is to provide a light effect system for simulating neuron signal transmission, which converts abstract neural and mental science principles into intuitive, interactive and accurate visual display, significantly improving the attractiveness and effectiveness of brain health popular science education, and providing a new display means for science museums, medical education institutions and mental health popularization fields.

[0005] In order to achieve the above purpose, the light effect system for simulating neuron signal transmission comprises:

[0006] An instruction input module for receiving user instructions.

[0007] An emotion mapping module for mapping the user instructions to a corresponding set of neural pathway parameters, the parameter set including at least a pathway identifier, a light effect color and a pulse conduction speed.

[0008] A signal generation module for generating a light control sequence according to the neural pathway parameter set.

[0009] A light execution array having a physical topology structure imitating the functional division of the brain, for dynamically displaying light effects on the corresponding pathways in a manner simulating neural electrical signal conduction according to the light control sequence.

[0010] Furthermore, the instruction input module is an offline speech recognition module, which includes an offline speech recognition chip and a wake word detection unit, used to recognize preset speech instructions containing emotional keywords in an environment without network connection.

[0011] Furthermore, the emotion mapping module is connected to a database that stores mapping relationships between multiple emotion types and neural pathway parameter sets. The neural pathway parameter sets also include pulse waveform parameters and neurotransmitter type optical mapping parameters.

[0012] Furthermore, the signal generation module includes:

[0013] A time delay calculation unit is used to calculate and generate a precise time delay sequence for controlling the lights to light up sequentially on the bionic path based on the pulse conduction speed.

[0014] A waveform generation unit is used to generate an analog function that controls the brightness of a single light unit as a function of time, based on the pulse waveform parameters.

[0015] Furthermore, the simulation function is a Gaussian function, used to generate pulse light effects where the brightness variation follows a Gaussian distribution.

[0016] Furthermore, the neurotransmitter type optical mapping parameters define the optical representation rules corresponding to different neurotransmitters, including dopamine corresponding to gold and high-frequency pulses, GABA corresponding to blue and brightness decay effect, and norepinephrine corresponding to red and strobe pulse mode.

[0017] Furthermore, the physical topology of the light execution array includes at least the prefrontal cortex, nucleus accumbens, and amygdala, which are physically connected by LED light strips or light guide elements, and their spatial positions and connections mimic the real neural anatomical connection pathways of the human brain.

[0018] Furthermore, the LED light strip or light guide element connecting the functional area is provided with one or more physical on / off interfaces, and the user can change the physical connection state of the path by operating the interface.

[0019] Furthermore, it also includes a feedback module connected to the emotion mapping module, used to synchronously provide audio narration related to the current channel when the light execution array performs a simulated display.

[0020] Furthermore, the system supports loading pathological modes. When a specific neurological disease mode is loaded, the light control sequence generated by the signal generation module will simulate the characteristics of the disease, including signal conduction interruption, global pulse frequency reduction, or abnormal synchronous discharge.

[0021] This invention has the following technological advancements and beneficial effects:

[0022] 1. Achieved precise optical mapping of neurobiological processes.

[0023] This invention pioneers a model that precisely mathematically maps the spatiotemporal dynamics of neurophysiological signals (action potentials, synaptic transmission) to LED optical parameters. By controlling brightness variations with a Gaussian function to simulate action potential waveforms, using a time delay algorithm to simulate signal transmission speed, and employing color coding to distinguish different neurotransmitters, it recreates previously invisible neural activity processes in situ, in real-time, and dynamically in physical space.

[0024] 2. A hardware system for constructing a biomimetic brain region topology was developed.

[0025] Breaking away from the limitations of traditional screen animations or arbitrarily arranged light strips, this innovative design constructs the physical layout and connections of the LED display array by mimicking the functional areas of the human brain (such as the prefrontal cortex, amygdala, and nucleus accumbens) and their anatomical pathways. This gives the transmission pathways of neural signals a real physical carrier, concretizing abstract concepts and achieving innovation at the hardware level.

[0026] 3. A cooperative control method based on multimodal interaction is proposed.

[0027] By deeply integrating voice command recognition, emotion parameter mapping, light sequence generation, and physical interaction (such as plugging and unplugging pathways), a closed-loop control system is formed. The system can understand the user's intention and transform it into dynamic light effects that conform to the laws of neuroscience, providing a seamless transition experience between "intention - biological process - visualization effect".

[0028] 4. An extensible neuropathology simulation framework was established.

[0029] The system can not only simulate normal physiological states, but also load pathological models of various neurological diseases (such as Parkinson's disease and depression) with one click by modifying control parameters (such as random interrupt signals and reducing global pulse frequency), providing a powerful demonstration tool for medical education and popular science. Attached Figure Description

[0030] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0031] Figure 1 This is a system architecture diagram of a light effect system for simulating neuronal signal transmission according to an embodiment of the present invention. Detailed Implementation

[0032] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0033] In the following description, references are made to “some embodiments,” which describe a subset of all possible embodiments. However, it is understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0034] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0035] Example 1

[0036] Figure 1 This is an embodiment of the light effect system for simulating neuronal signal transmission. The system includes a voice interaction module 1, an emotion mapping module 2, a signal generation module 3, and an LED display array 4.

[0037] In this embodiment, the voice interaction module 1 includes an offline voice recognition chip, such as the LD3320 or CI1102. This chip integrates microphone input, voice recognition algorithm, and digital output interface into a single unit, eliminating the need for complex calculations by an external processor. The chip is connected to an omnidirectional microphone for capturing user commands. It is also connected to a speaker for playing prompts. Furthermore, the voice playback module can be synchronized with a display device, which displays interactive content simulated by neural signals to the user.

[0038] Preferably, the voice interaction module 1 is normally in a low-power sleep state, continuously listening to ambient sounds. When the user speaks a preset wake-up word (e.g., "start display"), the chip detects an audio signal that matches the wake-up word's characteristics, immediately exits the sleep state, and sends an interrupt signal to the main controller via an I / O port, causing the screen to play interactive content.

[0039] Following prompts from the interactive content, users utter standardized emotional commands (i.e., "emotional keywords," such as "happiness," "anger," and "surprise"). The chip's internal recognizer quickly compares the captured speech signal with a pre-programmed command library in the chip's Flash memory. This command library contains a list of emotional states, with only about 10-20 preset words (such as happiness, surprise, anger, and fear). If the command matches a word in the library, the chip sends the recognition result to the display device via a serial port (UART) using a fixed protocol format, and indicates that the display is about to begin. If a match fails (e.g., due to excessive ambient noise or the user mispronouncing a word), the chip sends an "ERROR" message via the serial port or does not respond, and the display device prompts the user to re-enter the command.

[0040] In this embodiment, the emotion mapping module 2 receives standardized emotion commands from the voice module, then queries its database to retrieve a pre-set set of neural pathway parameters that uniquely corresponds to the emotion, and sends this set of neural pathway parameters to the signal generation module 3.

[0041] Preferably, the parameter database is a predefined lookup table stored in the chip's Flash memory. Each row of this table represents a mood or pattern and specifies in detail all the optical and timing parameters required to simulate it. Its core fields are illustrated below:

[0042]

[0043] Preferably, the emotion mapping module 2 receives standardized emotion commands from the voice module via a serial port. After recognizing "happiness," the voice module sends a simple string, such as "EMOTION:HAPPY." The emotion mapping module 2's query logic uses "HAPPY" as a keyword to quickly match and search the parameter database. After finding the corresponding row, the module extracts all parameters in that row (pathway identifier, light effect color, pulse velocity, pulse waveform and width, etc.) and packages them into a structured, machine-readable data packet. This data packet is a complete, executable set of neural pathway parameters.

[0044] In this embodiment, the signal generation module 3 receives a set of structured neural pathway parameters from the emotion mapping module and compiles them into a series of low-level hardware-executable light control instruction sequences with precise timing. The signal generation module 3 relies on the main controller's high-speed timer, DMA controller, and I / O interface in hardware, and consists of two core units in software: a time delay calculation unit and a waveform generation unit.

[0045] The time delay calculation unit is responsible for calculating the time sequence of pulse signals transmitted sequentially along the bionic neural pathway, simulating the conduction speed of biological neural signals on axons. The parameters input to the time delay calculation unit include pulse conduction speed parameters from the emotion mapping module and the physical topology data of the LED display array (i.e., the actual physical distance between each LED bead, such as 5cm). The time delay calculation unit calculates a time delay sequence based on the formula: time delay (Δt) = bead spacing (d) / pulse velocity (v). For example, with a spacing of 0.05m and a velocity of 0.5m / s, the theoretical time interval for adjacent LED beads to light up is calculated to be 0.1 seconds (100 milliseconds). This sequence precisely defines the lighting time of each LED bead relative to the previous LED bead as the pulse signal propagates from the starting point (e.g., the nucleus accumbens) to the ending point (e.g., the prefrontal cortex) of the pathway.

[0046] The waveform generation unit is responsible for generating a curve that controls the brightness of a single LED bead over time, optically simulating the waveform of a biological action potential. The parameters input to the waveform generation unit include pulse waveform parameters from the emotion mapping module and optical mapping parameters for the neurotransmitter type. The waveform generation unit initializes the corresponding mathematical function based on the waveform parameters. For example, for "Gaussian function, 80ms", the unit constructs a Gaussian function I(t), whose width parameter σ is determined to be 32ms based on the relationship pulse width = 2.5 * σ, and the peak time t0 is set to 40ms. This function generates a brightness variation curve: the brightness accelerates from zero, reaches its peak at 40ms, and then slowly decays back to zero, with a total duration of approximately 80ms. This curve perfectly reproduces the typical shape of a biological action potential.

[0047] In addition, the waveform generation unit modulates the basic waveform based on the received "neurotransmitter type" parameter. If it is an "excitatory neurotransmitter" (such as dopamine), the calculated brightness value will be increased by a fixed percentage (such as 30%); if it is an "inhibitory neurotransmitter" (such as GABA), the brightness value will be decreased by a fixed percentage (such as 50%) and the duration of the entire waveform will be compressed.

[0048] Then, the waveform generation unit generates a brightness-time function I(t). This function defines the ideal brightness value corresponding to each time point (t) within the pulse duration (e.g., 0 to 80 ms).

[0049] Finally, the outputs of the time delay calculation unit and the waveform generation unit are combined into a complete, time-tracked sequence of lighting control commands. The synthesis logic uses the first LED at the beginning of the path as a reference. At t=0, the I(t) function output by the waveform generation unit is applied to that LED to control its brightness to change according to a Gaussian curve over the next 80ms. After Δt (e.g., 100ms) output by the time delay calculation unit, the same brightness change process I(t) is applied to the next LED. This process is repeated continuously, creating a visual effect of optical pulse waves propagating sequentially along a preset neural pathway. The signal generation module 3 sends the synthesized command sequence to the LED display array in real time via a high-speed serial protocol. The command contains the address, RGB color value, and precise timing of the brightness change for each LED.

[0050] In this embodiment, the LED display array 4 clearly distinguishes the following main functional brain regions through LED light strips and light guide elements arranged in different ways:

[0051]

[0052]

[0053] Preferably, each functional area uses side-emitting optical fibers or closely spaced LED beads to form a clear linear light path to simulate a real nerve fiber bundle. In this embodiment, the key pathways between each functional area include at least the reward pathway and the stress pathway. The reward pathway originates from the nucleus accumbens and connects upwards to the prefrontal cortex, primarily transmitting the light effects of emotions such as "happiness." The stress pathway originates from the amygdala and branches into two: one branch connects upwards to the prefrontal cortex, simulating the influence of emotions on cognition; the other branch connects posteriorly to the motor cortex, simulating emotions such as fear.

[0054] In actual operation, the LED beads on the array are connected in series via a data line, receiving a serialized data stream from the signal generation module. This data stream contains the color and brightness information of all the LED beads. For example, when the signal generation module wants to simulate the emotion of "happiness," the data stream first locates the LED address in the nucleus accumbens region and commands it to light up gold. After a calculated time delay (e.g., 100ms), the data stream then locates the next LED group in the reward pathway and commands it to light up the same gold. This process is repeated sequentially, forming a visual effect of a golden light pulse "flowing" from the nucleus accumbens region to the prefrontal cortex. After the final transmission is completed, the LED beads in the pathway quickly turn off, leaving only the target brain region (e.g., the prefrontal cortex) slightly lit, simulating the transient nature of neural signals and the persistence of postsynaptic potentials. It then awaits the next cycle or command.

[0055] Although embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A light-effect system for simulating neuronal signal transmission, characterized in that, include: The instruction input module is used to receive user instructions. An emotion mapping module is used to map the user commands to a corresponding set of neural pathway parameters, wherein the parameter set includes at least pathway identifiers, light effect colors, and pulse conduction speeds. The signal generation module is used to generate a light control sequence based on the neural pathway parameter set; The light execution array has a physical topology that mimics the division of functional areas in the brain, and is used to dynamically display light effects in the corresponding pathways in a manner that simulates the conduction of neural electrical signals according to the light control sequence.

2. The optical effect system for simulating neuronal signal transmission as described in claim 1, characterized in that, The instruction input module is an offline speech recognition module, which includes an offline speech recognition chip and a wake word detection unit, used to recognize preset speech instructions containing emotional keywords in an environment without network connection.

3. The optical effect system for simulating neuronal signal transmission as described in claim 2, characterized in that, The emotion mapping module is connected to a database that stores mapping relationships between multiple emotion types and neural pathway parameter sets. The neural pathway parameter sets also include pulse waveform parameters and neurotransmitter type optical mapping parameters.

4. The optical effect system for simulating neuronal signal transmission as described in claim 3, characterized in that, The signal generation module includes: A time delay calculation unit is used to calculate and generate a precise time delay sequence for controlling the lights to light up sequentially on the bionic path based on the pulse conduction speed. A waveform generation unit is used to generate an analog function that controls the brightness of a single light unit as a function of time, based on the pulse waveform parameters.

5. The optical effect system for simulating neuronal signal transmission as described in claim 4, characterized in that, The simulation function is a Gaussian function, used to generate pulsed light effects where brightness changes follow a Gaussian distribution.

6. The optical effect system for simulating neuronal signal transmission as described in claim 5, characterized in that, The optical mapping parameters for neurotransmitter types define the optical representation rules corresponding to different neurotransmitters, including dopamine corresponding to gold and high-frequency pulses, GABA corresponding to blue and brightness decay effect, and norepinephrine corresponding to red and strobe pulse mode.

7. The optical effect system for simulating neuronal signal transmission as described in claim 6, characterized in that, The physical topology of the light-acting array includes at least the prefrontal cortex, nucleus accumbens, and amygdala, which are physically connected by LED light strips or light guide elements, and their spatial positions and connections mimic the real neural anatomical connection pathways of the human brain.

8. The optical effect system for simulating neuronal signal transmission as described in claim 7, characterized in that, The LED light strip or light guide element connecting the functional area is provided with one or more physical on / off interfaces, and the user can change the physical connection state of the path by operating the interface.

9. The optical effect system for simulating neuronal signal transmission as described in claim 1, characterized in that, It also includes a feedback module connected to the emotion mapping module, used to provide audio narration related to the current channel simultaneously when the light execution array performs a simulated display.

10. The optical effect system for simulating neuronal signal transmission as described in claim 1, characterized in that, The system supports loading pathological modes. When a specific neurological disease mode is loaded, the light control sequence generated by the signal generation module will simulate the characteristics of the disease, including signal conduction interruption, global pulse frequency reduction, or abnormal synchronous discharge.

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