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MathWorks Inc matlab code
Matlab Code, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 95/100, based on 170 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab+2021b/MATLAB+Coder/pmc11151060-207-7-7
Average 95 stars, based on 170 article reviews

matlab code - by Bioz Stars, 2026-09

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Article Title: Towards the transformation of MATLAB models into FPGA-Based hardware accelerators
Article Snippet: The forward pass of the reference model is independently reimplemented in MATLAB scripts and in manually optimized HLS-based C + + code, while the HDL Coder workflow is used as a comparative baseline.

Article Title: Method and system for measuring, predicting and optimizing human alertness
Article Snippet: The algorithms for group-average and individualized predictions were written in MATLAB, translated to C with MATLAB Coder, and then compiled into a native library.

Article Title: Predictive temperature control of electric two wheeler hub motor using gradient aware neural regulation with degradation tracking and fault tolerant multi condition torque adaptation.
Article Snippet: All artificial neural network (ANN) models were converted into fixed-point C code using MATLAB Coder and Embedded Coder toolchains.

Article Title: Real-time Covid-19 diagnosis on embedded IoT platforms
Article Snippet: The trained model was converted into an embedded-compatible format using MATLAB Coder and GPU Coder, generating CUDA-accelerated code optimized for the GPU resources available on the NVIDIA Jetson platform.

Article Title: Towards the transformation of MATLAB models into FPGA-Based hardware accelerators.
Article Snippet: The forward pass of the reference model is independently reimplemented in MATLAB scripts and in manually optimized HLS-based C++ code, while the HDL Coder workflow is used as a comparative baseline.

Software:

Article Title: Towards the transformation of MATLAB models into FPGA-Based hardware accelerators.
Article Snippet: AMD’s Vitis Model Composer, integrated as a Simulink add-on, supports rapid prototyping of FPGA-oriented systems [12]. .. Similarly, MATLAB Coder and Hardware Description Language (HDL) Coder facilitate the conversion of algorithms developed in MATLAB into C/C++ or HDL representations, thereby bridging software-oriented models with hardware-oriented implementations [13]. ..

Article Title: Towards the transformation of MATLAB models into FPGA-Based hardware accelerators
Article Snippet: AMD’s Vitis Model Composer, integrated as a Simulink add-on, supports rapid prototyping of FPGA-oriented systems . .. Similarly, MATLAB Coder and Hardware Description Language (HDL) Coder facilitate the conversion of algorithms developed in MATLAB into C/C + + or HDL representations, thereby bridging software-oriented models with hardware-oriented implementations . ..

Blocking Assay:

Article Title: Predictive temperature control of electric two wheeler hub motor using gradient aware neural regulation with degradation tracking and fault tolerant multi condition torque adaptation.
Article Snippet: .. Once trained, the ANN model is exported as a lightweight C-code block using MATLAB CoderTM for embedded deployment. ..

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Enhanced coherence of CR condition at the alpha frequency band. The left central motor area (C1, C3, C5) and the right central motor area (C2, C4, C6) were used as seed regions, respectively. ( a) Enhanced coherence in the left central motor area (C1, C3, C5) and SMA (FCz) at the alpha frequency band was observed in the CR condition during both training (over 10 blocks) and transfer stages. ( b) No changes in coherence strength were observed between the right central motor area (C2, C4, C6) and other channels, or areas in either motor skill acquisition or transfer. ( c) Detailed coherence value changes between C1, C3, C5, and FCz over 10 blocks of training in the CR condition at the alpha frequency band are shown. The x-axis represents the 10 training blocks, and the y-axis indicates the coherence value strength (0–1) for each block. Using the first training block as the baseline, the 10th block exhibited enhanced coherence that significantly differed from the first block. T1-T10 illustrates the dynamic changes in coherence from the 1 st block to the 10th block. Asterisks (*) indicate the training blocks that exhibit significant differences in performance compared to the first block, as determined by Dunnett’s post-hoc analysis. ( d) Enhanced coherence strength between C1, C3, C5, and FCz at the alpha frequency band in the non-trained hand was observed after training compared to the baseline in the CR condition. Error bars denote one standard deviation (SD) across participants. * p < 0.05. The image was generated using MATLAB 2021b.

Journal: Scientific Reports

Article Title: Commonality of neuronal coherence for motor skill acquisition and interlimb transfer

doi: 10.1038/s41598-025-11943-6

Figure Lengend Snippet: Enhanced coherence of CR condition at the alpha frequency band. The left central motor area (C1, C3, C5) and the right central motor area (C2, C4, C6) were used as seed regions, respectively. ( a) Enhanced coherence in the left central motor area (C1, C3, C5) and SMA (FCz) at the alpha frequency band was observed in the CR condition during both training (over 10 blocks) and transfer stages. ( b) No changes in coherence strength were observed between the right central motor area (C2, C4, C6) and other channels, or areas in either motor skill acquisition or transfer. ( c) Detailed coherence value changes between C1, C3, C5, and FCz over 10 blocks of training in the CR condition at the alpha frequency band are shown. The x-axis represents the 10 training blocks, and the y-axis indicates the coherence value strength (0–1) for each block. Using the first training block as the baseline, the 10th block exhibited enhanced coherence that significantly differed from the first block. T1-T10 illustrates the dynamic changes in coherence from the 1 st block to the 10th block. Asterisks (*) indicate the training blocks that exhibit significant differences in performance compared to the first block, as determined by Dunnett’s post-hoc analysis. ( d) Enhanced coherence strength between C1, C3, C5, and FCz at the alpha frequency band in the non-trained hand was observed after training compared to the baseline in the CR condition. Error bars denote one standard deviation (SD) across participants. * p < 0.05. The image was generated using MATLAB 2021b.

Article Snippet: The image was generated using MATLAB 2021b.

Techniques: Blocking Assay, Standard Deviation, Generated

Enhanced coherence in the CL condition at the theta frequency band. The left central motor area (C1, C3, C5) and the right central motor area (C2, C4, C6) were used as seed regions, respectively. ( a) Enhanced coherence in the central motor area (C1, C3, C5) and centroparietal regions (CPz) at the theta frequency band was observed in both training (pre-test vs. post-test), training (over 10 blocks) and transfer stages only in the CL condition. ( b) No changes in coherence strength were observed between the right central motor area (C2, C4, C6) and other channels or regions in either transfer or practice. ( c) The detailed coherence value changes between C1, C3, C5, and CPz over 10 blocks of training in the CL condition at the theta frequency band are shown. The x-axis represents the 10 training blocks, and the y-axis indicates the coherence value strength (0–1) for each training block. Using the first training block as the baseline, block 5, 6 and 10 exhibited enhanced coherence compared to the first training block. T1-T10 illustrates the dynamic changes in coherence from the 1 st block to the 10th block. Asterisks (*) indicate the training blocks that exhibit significant differences in performance compared to the first block, as determined by Dunnett’s post-hoc analysis. ( d) The coherence strength between C1, C3, C5, and CPz at the theta frequency band was significantly enhanced during the post-test of the non-practiced right hand in the CL condition, compared to the pre-test. Error bars denote one standard deviation (SD) across participants. * p < 0.05, ** p < 0.01, *** p < 0.001. The image was generated using MATLAB 2021b.

Journal: Scientific Reports

Article Title: Commonality of neuronal coherence for motor skill acquisition and interlimb transfer

doi: 10.1038/s41598-025-11943-6

Figure Lengend Snippet: Enhanced coherence in the CL condition at the theta frequency band. The left central motor area (C1, C3, C5) and the right central motor area (C2, C4, C6) were used as seed regions, respectively. ( a) Enhanced coherence in the central motor area (C1, C3, C5) and centroparietal regions (CPz) at the theta frequency band was observed in both training (pre-test vs. post-test), training (over 10 blocks) and transfer stages only in the CL condition. ( b) No changes in coherence strength were observed between the right central motor area (C2, C4, C6) and other channels or regions in either transfer or practice. ( c) The detailed coherence value changes between C1, C3, C5, and CPz over 10 blocks of training in the CL condition at the theta frequency band are shown. The x-axis represents the 10 training blocks, and the y-axis indicates the coherence value strength (0–1) for each training block. Using the first training block as the baseline, block 5, 6 and 10 exhibited enhanced coherence compared to the first training block. T1-T10 illustrates the dynamic changes in coherence from the 1 st block to the 10th block. Asterisks (*) indicate the training blocks that exhibit significant differences in performance compared to the first block, as determined by Dunnett’s post-hoc analysis. ( d) The coherence strength between C1, C3, C5, and CPz at the theta frequency band was significantly enhanced during the post-test of the non-practiced right hand in the CL condition, compared to the pre-test. Error bars denote one standard deviation (SD) across participants. * p < 0.05, ** p < 0.01, *** p < 0.001. The image was generated using MATLAB 2021b.

Article Snippet: The image was generated using MATLAB 2021b.

Techniques: Blocking Assay, Standard Deviation, Generated

Enhanced coherence in the CR condition at the theta frequency band. The left frontal (F1, F3, F5, F7) and right frontal regions (F2, F4, F6, F8) were used as seed regions, respectively. ( a) Enhanced coherence in the frontal (F1, F3, F5, F7) and centroparietal regions (CP1, CP3, CP5) at the theta frequency band was observed during both the training (over 10 blocks) and transfer stages exclusively in the CR condition. ( b) No changes in coherence strength were observed in the right frontal area (F2, F4, F6, F8) or other channels or areas. ( c) The detailed coherence value changes between F1, F3, F5, F7, and CP1, CP3, CP5 over 10 blocks of training in the CR condition at the theta frequency band are shown. The x-axis represents the 10 training blocks, and the y-axis indicates the coherence value strength (0–1) for each block. Using the first training block as the baseline, block 3, 4 and 10 showed enhanced coherence compared to the first training block. T1-T10 illustrates the dynamic changes in coherence from the 1 st block to the 10th block. Asterisks (*) indicate the training blocks that exhibit significant differences in performance compared to the first block, as determined by Dunnett’s post-hoc analysis. ( d) The coherence strength between F1, F3, F5, F7, and CP1, CP3, CP5 at the theta frequency band was significantly enhanced during the post-test of the non-practiced left hand in the CR condition, compared to the pre-test. Error bars denote one standard deviation (SD) across participants. * p < 0.05. The image was generated using MATLAB 2021b.

Journal: Scientific Reports

Article Title: Commonality of neuronal coherence for motor skill acquisition and interlimb transfer

doi: 10.1038/s41598-025-11943-6

Figure Lengend Snippet: Enhanced coherence in the CR condition at the theta frequency band. The left frontal (F1, F3, F5, F7) and right frontal regions (F2, F4, F6, F8) were used as seed regions, respectively. ( a) Enhanced coherence in the frontal (F1, F3, F5, F7) and centroparietal regions (CP1, CP3, CP5) at the theta frequency band was observed during both the training (over 10 blocks) and transfer stages exclusively in the CR condition. ( b) No changes in coherence strength were observed in the right frontal area (F2, F4, F6, F8) or other channels or areas. ( c) The detailed coherence value changes between F1, F3, F5, F7, and CP1, CP3, CP5 over 10 blocks of training in the CR condition at the theta frequency band are shown. The x-axis represents the 10 training blocks, and the y-axis indicates the coherence value strength (0–1) for each block. Using the first training block as the baseline, block 3, 4 and 10 showed enhanced coherence compared to the first training block. T1-T10 illustrates the dynamic changes in coherence from the 1 st block to the 10th block. Asterisks (*) indicate the training blocks that exhibit significant differences in performance compared to the first block, as determined by Dunnett’s post-hoc analysis. ( d) The coherence strength between F1, F3, F5, F7, and CP1, CP3, CP5 at the theta frequency band was significantly enhanced during the post-test of the non-practiced left hand in the CR condition, compared to the pre-test. Error bars denote one standard deviation (SD) across participants. * p < 0.05. The image was generated using MATLAB 2021b.

Article Snippet: The image was generated using MATLAB 2021b.

Techniques: Blocking Assay, Standard Deviation, Generated

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