James M. Bower

39 papers Journal 24Unranked 12
YearRankTypeTitle / Venue / Authors
2015 J jnl
Frontiers Comput. Neurosci.
James M. Bower
2014 ch.
Encyclopedia of Computational Neuroscience
James M. Bower, Hugo Cornelis, David Beeman
2007 J jnl
Scholarpedia
James M. Bower, David Beeman
2007 J jnl
J. Comput. Neurosci.
Romain Brette, Michelle Rudolph, Ted Carnevale, Michael L. Hines, David Beeman, James M. Bower, Markus Diesmann, Abigail Morrison, Philip H. Goodman, Frederick C. Harris Jr., Milind Zirpe, Thomas Natschläger, Dejan Pecevski, Bard Ermentrout, Mikael Djurfeldt, Anders Lansner, Olivier Rochel, Thierry Viéville, Eilif B. Muller, Andrew P. Davison, Sami El Boustani, Alain Destexhe
2004 J jnl
Neurocomputing
David Beeman, James M. Bower
2003 J jnl
Neurocomputing
Amir Madany Mamlouk, Christine Chee-Ruiter, Ulrich G. Hofmann, James M. Bower
2002 J jnl
J. Comput. Neurosci.
Fidel Santamaría, Dieter Jaeger, Erik De Schutter, James M. Bower
2002 J jnl
Neurocomputing
Winrich Freiwald, Heiko Stemmann, Aurel Wannig, Andreas K. Kreiter, Ulrich G. Hofmann, Matthew Hills, Gregory T. A. Kovacs, David T. Kewley, James M. Bower, Axel Etzold, Stefan D. Wilke, Christian W. Eurich
2001 J jnl
J. Comput. Neurosci.
Yoshihisa Kubota, James M. Bower
2000 J jnl
Neurocomputing
Octavian-Dumitru Mocanu, Joan Oliver, Fidel Santamaría, James M. Bower
2000 J jnl
Neurocomputing
Stephen D. Van Hooser, Ulrich G. Hofmann, David T. Kewley, James M. Bower
1999 J jnl
J. Comput. Neurosci.
Michael C. Vanier, James M. Bower
1999 J jnl
Neurocomputing
Yoshihisa Kubota, James M. Bower
1999 J jnl
Future Gener. Comput. Syst.
Jenny Forss, David Beeman, James M. Bower, Rogene M. Eichler West
1998 J jnl
J. Comput. Neurosci.
Sharon M. Crook, Bard Ermentrout, James M. Bower
1998 J jnl
J. Comput. Neurosci.
Pierre Baldi, Michael C. Vanier, James M. Bower
1998 J jnl
Neural Comput.
Sharon M. Crook, Bard Ermentrout, James M. Bower
1998 book
The book of GENESIS - exploring realistic neural models with the GEneral NEural SImulation System (2. ed.).
James M. Bower, David Beeman
1997 J jnl
J. Comput. Neurosci.
Upinder S. Bhalla, James M. Bower
1997 J jnl
J. Comput. Neurosci.
Sharon M. Crook, Bard Ermentrout, Michael C. Vanier, James M. Bower
1996 J jnl
NeuroImage
James M. Bower
1995 book
The book of GENESIS - exploring realistic neural models with the GEneral NEural models SImulation system.
James M. Bower, David Beeman
1994 J jnl
J. Comput. Neurosci.
John Rinzel, John P. Miller, James M. Bower, Charles Wilson, Eve Marder, Idan Segev
1993 J jnl
Neural Comput.
Erik De Schutter, James M. Bower
1993 J jnl
Artif. Intell. Rev.
James M. Bower
1991 J jnl
Neural Comput.
Matthew A. Wilson, James M. Bower
1990 conf
NIPS
Michael E. Hasselmo, Brooke P. Anderson, James M. Bower
1989 conf
NIPS
Maurice Lee, James M. Bower
1989 conf
NIPS
Mark E. Nelson, James M. Bower
1989 conf
NIPS
Matthew A. Wilson, James M. Bower
1989 J jnl
Int. J. Neural Syst.
Michael G. Paulin, Mark E. Nelson, James M. Bower
1988 conf
NIPS
Matthew A. Wilson, Upinder S. Bhalla, John D. Uhley, James M. Bower
1988 conf
NIPS
Sylvie Ryckebusch, James M. Bower, Carver Mead
1988 conf
NIPS
Michael G. Paulin, Mark E. Nelson, James M. Bower
1988 conf
C³P
James M. Bower, Mark E. Nelson, Matthew A. Wilson, Geoffrey C. Fox, Wojtek Furmanski
1988 conf
NIPS
Brian Rasnow, Christopher Assad, Mark E. Nelson, James M. Bower
1987 conf
NIPS
James M. Bower, Matthew A. Wilson
1987 conf
NIPS
James M. Bower, Yiu-Fai Wong, Jashojiban Banik
1987 conf
NIPS
James M. Bower, Amir F. Atiya
redb/extractors/macho_extractors/macho_imports.py
← Index redb/extractors/macho_extractors/macho_imports.py python
import inspect
from datetime import datetime, timezone
from typing import Any

from redb.extractors.enum import Tag
from redb.extractors.macho_extractor import MachOExtractor
from redb.models.dataclasses import MachOImport


class MachOImportExtractor(MachOExtractor):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        macho=None,
    ):
        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious,
            macho,
        )
        self.elastic_index = self.index_prefix + "-macho_imports"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def tag(self):
        return Tag.MACHO_IMPORT.value

    def _extract_imports(self, arch_name=None):
        """Extract import information from the MachO binary for a specific architecture.

        Handles machofile v2026.2.4+ API where get_imported_functions() returns:
        Dict[str, List[Dict]] where each dict has {'name': str, 'sources': [str, ...]}
        """
        self.log.debug(inspect.currentframe().f_code.co_name)

        if not self.macho:
            return None

        try:
            # Get imported functions using API for specific architecture
            imported_functions = self.macho.get_imported_functions(arch=arch_name)
            if not imported_functions:
                return None

            # Keep the library→functions mapping (like PE does)
            library_names = []
            imports_with_mapping = []  # List of {library: [(name, source), ...]}

            for dylib_name, functions in imported_functions.items():
                # v2026.2.4+: dylib_name is already str, but handle bytes for compatibility
                if isinstance(dylib_name, bytes):
                    dylib_name = dylib_name.decode('utf-8', errors='replace')
                library_names.append(dylib_name)

                # Process function entries
                func_list = []
                for func_entry in functions:
                    # v2026.2.4+: func_entry is {'name': str, 'sources': [str, ...]}
                    if isinstance(func_entry, dict):
                        func_name = func_entry.get('name', '')
                        # Join sources if multiple, take first if single
                        sources = func_entry.get('sources', [])
                        import_source = sources[0] if sources else None
                        func_list.append((func_name, import_source))
                    else:
                        # Legacy format: func_entry is str or bytes
                        if isinstance(func_entry, bytes):
                            func_entry = func_entry.decode('utf-8', errors='replace')
                        func_list.append((func_entry, None))

                imports_with_mapping.append({dylib_name: func_list})

            # Count total functions
            total_functions = sum(len(list(d.values())[0]) for d in imports_with_mapping)

            # Create import dataclass with mapping preserved
            macho_import = MachOImport(
                macho_imports_total=total_functions,
                macho_import_libraryName=library_names if library_names else None,
                macho_import_functions=imports_with_mapping if imports_with_mapping else None
            )

            return macho_import

        except Exception as e:
            self.log.error(f"Error extracting MachO imports for arch {arch_name}: {e}")
            return None

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            # Get architectures (macho is already parsed in base class)
            architectures = self.macho.get_architectures()
            if len(architectures) > 1:
                # FAT binary - return list of imports for each architecture
                results = []
                for arch_name in architectures:
                    imports = self._extract_imports(arch_name)
                    if imports:
                        imports.arch_identifier = arch_name
                        results.append(imports)
                return results
            else:
                # Single architecture - return single result
                return self._extract_imports(architectures[0] if architectures else None)
        except Exception as e:
            self.log.error(f"Error extracting MachO imports: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.extract()
        elif exporter_type == "ClickHouseExporter":
            if not self.macho:
                return None

            # Get architectures (macho is already parsed in base class)
            try:
                architectures = self.macho.get_architectures()
                is_fat = len(architectures) > 1
            except Exception as e:
                self.log.error(f"Could not get architectures: {e}")
                return None

            # Flatten the data - one row per function import (like PE imports)
            data = []
            current_time = datetime.now(timezone.utc)

            # Loop through each architecture (1 for single, multiple for FAT)
            for arch_name in architectures:
                # Get architecture-specific sha256
                try:
                    arch_general_info = self.macho.get_general_info(arch=arch_name)
                    arch_header_raw = self.macho.get_macho_header(arch=arch_name)
                    arch_sha256 = arch_general_info.get('SHA256', self.sha256)
                    arch_cputype_raw = arch_header_raw.get('cputype', 0) if arch_header_raw else 0
                except Exception as e:
                    self.log.warning(f"Could not get arch-specific data for {arch_name}: {e}")
                    arch_sha256 = self.sha256
                    arch_cputype_raw = 0

                # Get imports for this architecture
                macho_import = self._extract_imports(arch_name)
                if not macho_import or not macho_import.macho_import_functions:
                    continue

                # Flatten to one row per (library, function) pair
                for lib_funcs in macho_import.macho_import_functions:
                    for lib, funcs in lib_funcs.items():
                        for func_name, import_source in funcs:
                            data.append([
                                arch_sha256,        # sha256 (arch-specific)
                                lib,                # library_name
                                func_name,          # function_name
                                import_source,      # import_source (chained_fixups, bind_opcodes, symtab)
                                current_time,       # analysis_date
                            ])

            column_names = [
                'sha256',
                'library_name', 'function_name', 'import_source',
                'analysis_date'
            ]

            if not data:
                return None

            column_type_names = [
                'FixedString(64)',
                'LowCardinality(String)', 'LowCardinality(String)', 'LowCardinality(Nullable(String))',
                'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

        return None

    def get_clickhouse_table(self) -> str:
        return "redb_macho_imports"