Yanked

This release has been yanked by its maintainers, and will be ignored by installers, except when explicitly specified.
Consider using release 10.1.0 instead.
Reason given by maintainers: Wrong versioning

pycbsdk

Python bindings for the CereLink SDK, providing real-time access to Blackrock Neurotech Cerebus neural signal processors.

Built on cffi (ABI mode) — no compiler needed at install time.

Installation

pip install pycbsdk

# With numpy support (zero-copy array access for continuous data)
pip install pycbsdk[numpy]

Windows prerequisite: The bundled shared library requires the Microsoft Visual C++ Redistributable. Most Windows systems already have it installed. If you get a DLL load error, download it from Microsoft.

Quick Start

from pycbsdk import Session
import time

with Session("HUB1") as session:
    # Register a callback for spike events
    @session.on_event("FRONTEND")
    def on_spike(header, data):
        print(f"Spike on channel {header.chid} at t={header.time}")

    # Register a callback for 30kHz continuous data
    @session.on_group(5, as_array=True)
    def on_continuous(header, samples):
        # samples is a numpy int16 array of shape (n_channels,)
        print(f"Group packet: {len(samples)} channels")

    time.sleep(10)
    print(session.stats)

Features

Callback-driven: decorator-based registration for event, group, config, and catch-all packet callbacks
Context manager: automatic cleanup on exit
numpy integration (optional): zero-copy arrays for continuous data, ring buffer accumulator, blocking read_continuous() collector
Device support: LEGACY_NSP, NSP, HUB1, HUB2, HUB3, NPLAY

API Overview

Session

session = Session(device_type="HUB1", callback_queue_depth=16384)

Callbacks (decorator style):

Decorator	Description
`@session.on_event("FRONTEND")`	Spike / event packets for a channel type
`@session.on_group(5)`	Continuous sample group (1-6)
`@session.on_group(5, as_array=True)`	Same, but data as numpy array
`@session.on_config(pkt_type)`	Config / system packets
`@session.on_packet()`	All packets (catch-all)
`session.on_error(fn)`	Error messages

Configuration access:

session.get_channel_label(chan_id) — channel label string
session.get_channel_smpgroup(chan_id) — channel's sample group (0-6)
session.get_group_channels(group_id) — list of channel IDs in a group
session.runlevel — current device run level
Session.max_chans(), Session.num_fe_chans(), Session.num_analog_chans()

Commands:

session.send_comment("marker text", rgba=0xFF0000) — inject a comment
session.set_digital_output(chan_id, value) — set digital output
session.set_runlevel(level) — change system run level
session.set_sample_group(n, "FRONTEND", group_id) — configure sampling
session.set_spike_sorting(n, "FRONTEND", sort_options) — configure spike sorting

CCF Configuration Files:

session.save_ccf("config.ccf") — save current device config to XML file
session.load_ccf("config.ccf") — load config from file and apply to device

Recording Control (requires Central):

session.start_central_recording("filename", comment="session 1") — start recording
session.stop_central_recording() — stop recording

Clock Synchronization:

# Convert device timestamp to Python's time.monotonic()
@session.on_event("FRONTEND")
def on_spike(header, data):
    t = session.device_to_monotonic(header.time)
    latency_ms = (time.monotonic() - t) * 1000
    print(f"Spike latency: {latency_ms:.1f} ms")

session.device_to_monotonic(device_time_ns) — convert device timestamp to time.monotonic() seconds
session.clock_offset_ns — raw clock offset (device_ns - steady_clock_ns), or None
session.clock_uncertainty_ns — uncertainty (half-RTT), or None
session.send_clock_probe() — send a sync probe

Statistics:

stats = session.stats  # Stats dataclass
print(stats.packets_received, stats.packets_dropped)
session.reset_stats()

numpy Integration

Requires pip install pycbsdk[numpy].

# Blocking data collection
data = session.read_continuous(group_id=5, duration=2.0)
# data.shape == (n_channels, ~60000), dtype int16

# Ring buffer for ongoing collection
reader = session.continuous_reader(group_id=5, buffer_seconds=10)
import time; time.sleep(5)
data = reader.read()        # most recent samples
data = reader.read(1000)    # last 1000 samples
print(reader.total_samples, reader.dropped)
reader.close()

Supported Devices

Device Type	Description
`LEGACY_NSP`	Legacy NSP (default)
`NSP`	NSP
`HUB1`	Gemini Hub 1
`HUB2`	Gemini Hub 2
`HUB3`	Gemini Hub 3
`NPLAY`	nPlay

Development

# Build the shared library
cmake -S . -B build -DCBSDK_BUILD_SHARED=ON -DCMAKE_BUILD_TYPE=Release
cmake --build build --target cbsdk_shared --config Release

# Install pycbsdk in development mode
cd pycbsdk
pip install -e ".[dev,numpy]"

# Point to the shared library
export CBSDK_LIB_PATH=/path/to/libcbsdk.dll  # or .so / .dylib

License

BSD 2-Clause. See LICENSE.txt.

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